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README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "./hf_saving_dir",
   "add_proj": false,
   "architectures": [
     "Cnn8RnnW2vMeanGroundingModel"
@@ -12,6 +11,6 @@
   "sample_rate": 32000,
   "shared_dim": 512,
   "torch_dtype": "float32",
-  "transformers_version": "4.30.2",
+  "transformers_version": "4.41.2",
   "vocab_size": 5221
 }

hf_modeling_grounding.py

@@ -31,7 +31,7 @@ def generate_length_mask(lens, max_length=None):
     N = lens.size(0)
     if max_length is None:
         max_length = max(lens)
-    idxs = torch.arange(max_length).repeat(N).view(N, max_length)
+    idxs = torch.arange(max_length).repeat(N).view(N, max_length).to(lens.device)
     mask = (idxs < lens.view(-1, 1))
     return mask
 
@@ -397,4 +397,4 @@ class Cnn8RnnW2vMeanGroundingModel(PreTrainedModel):
                                         *model_args, **kwargs)
         vocab_path = cached_file(pretrained_model_name_or_path, "vocab.json")
         model.vocab_mapping = json.load(open(vocab_path))
-        return model
+        return model

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd48c8f992c613401d095f486a595e0a495a07dea73581c41d3da9ba2c0fbb7e
+size 35377736

vocab.json

@@ -1 +1 @@
-{"<pad>": 0, "<unk>": 1, "a": 2, "musical": 3, "horn": 4, "play": 5, "in": 6, "the": 7, "distance": 8, "people": 9, "cheer": 10, "and": 11, "holler": 12, "followed": 13, "by": 14, "girl": 15, "speaking": 16, "loud": 17, "whistle": 18, "of": 19, "train": 20, "as": 21, "it": 22, "hisses": 23, "off": 24, "into": 25, "air": 26, "are": 27, "talking": 28, "rapid": 29, "beep": 30, "is": 31, "ringing": 32, "bees": 33, "buzz": 34, "man": 35, "sings": 36, "background": 37, "dogs": 38, "howling": 39, "an": 40, "engine": 41, "revs": 42, "over": 43, "then": 44, "almost": 45, "comes": 46, "to": 47, "stop": 48, "something": 49, "closed": 50, "opened": 51, "repeatedly": 52, "nearby": 53, "static": 54, "voice": 55, "on": 56, "cat": 57, "meowing": 58, "loudly": 59, "tapping": 60, "more": 61, "flush": 62, "gurgling": 63, "water": 64, ",": 65, "another": 66, "truck": 67, "accelerating": 68, "driving": 69, "emergency": 70, "vehicle": 71, "siren": 72, "wails": 73, "child": 74, "laughing": 75, "woman": 76, "humming": 77, "metal": 78, "scraps": 79, "against": 80, "stone": 81, "surface": 82, "motor": 83, "running": 84, "traffic": 85, "noises": 86, "present": 87, "trickling": 88, "lightly": 89, "splashing": 90, "frogs": 91, "croak": 92, "revving": 93, "tire": 94, "squeals": 95, "occur": 96, "sounds": 97, "two": 98, "men": 99, "crowd": 100, "pigeons": 101, "cooing": 102, "bird": 103, "wings": 104, "flapping": 105, "other": 106, "birds": 107, "chirp": 108, "explosion": 109, "bursts": 110, "air-compressor": 111, "with": 112, "foreground": 113, "boat": 114, "passing": 115, "male": 116, "speech": 117, "whispering": 118, "normally": 119, "after": 120, "infant": 121, "cries": 122, "shouting": 123, "speaks": 124, "sewing": 125, "machine": 126, "runs": 127, "being": 128, "splashed": 129, "wind": 130, "blows": 131, "bell": 132, "rings": 133, "out": 134, "echoes": 135, "typing": 136, "quickly": 137, "keyboard": 138, "flap": 139, "coo": 140, "glass": 141, "breaking": 142, "speak": 143, "noise": 144, "operating": 145, "baby": 146, "laughs": 147, "again": 148, "buzzing": 149, "sound": 150, "groaning": 151, "bang": 152, "seagulls": 153, "cawing": 154, "motorbike": 155, "while": 156, "series": 157, "horns": 158, "car": 159, "alarm": 160, "goes": 161, "quiet": 162, "environment": 163, "slight": 164, "rustling": 165, "occurs": 166, "electronic": 167, "simulated": 168, "adult": 169, "female": 170, "laughter": 171, "pours": 172, "rapidly": 173, "signal": 174, "guns": 175, "fire": 176, "softly": 177, "sing": 178, "frog": 179, "croaks": 180, "motorcycle": 181, "kid": 182, "talks": 183, "several": 184, "laugh": 185, "dings": 186, "bounces": 187, "racing": 188, "dog": 189, "barking": 190, "drive": 191, "down": 192, "street": 193, "sirens": 194, "going": 195, "cajoles": 196, "barks": 197, "growls": 198, "works": 199, "objects": 200, "tapped": 201, "bells": 202, "ring": 203, "accelerates": 204, "passes": 205, "starting": 206, "steam": 207, "vehicles": 208, "pass": 209, "ducks": 210, "whistling": 211, "bus": 212, "drives": 213, "spit": 214, "bark": 215, "stopping": 216, "continuously": 217, "some": 218, "brief": 219, "silence": 220, "speeding": 221, "up": 222, "duck": 223, "quacks": 224, "chatters": 225, "rhythmically": 226, "revved": 227, "idles": 228, "explosions": 229, "person": 230, "multiple": 231, "door": 232, "opens": 233, "shifts": 234, "higher": 235, "gear": 236, "turn": 237, "roaring": 238, "having": 239, "conversation": 240, "they": 241, "ride": 242, "inside": 243, "moving": 244, "idle": 245, "before": 246, "shouts": 247, "blowing": 248, "microphone": 249, "blaring": 250, "coming": 251, "road": 252, "long": 253, "consistent": 254, "drilling": 255, "rain": 256, "gentle": 257, "thunder": 258, "footsteps": 259, "rushes": 260, "high": 261, "pitched": 262, "spraying": 263, "intermittent": 264, "giving": 265, "crumpling": 266, "electric": 267, "drill": 268, "used": 269, "blown": 270, "helicopter": 271, "whirring": 272, "from": 273, "race": 274, "engines": 275, "thumping": 276, "roar": 277, "cheers": 278, "narrates": 279, "speaker": 280, "music": 281, "playing": 282, "animal": 283, "grunting": 284, "snake": 285, "walks": 286, "around": 287, "burps": 288, "large": 289, "banging": 290, "narration": 291, "audience": 292, "students": 293, "couple": 294, "babies": 295, "cry": 296, "intensely": 297, "children": 298, "their": 299, "someone": 300, "snores": 301, "blasts": 302, "warning": 303, "small": 304, "scamper": 305, "sheep": 306, "baaing": 307, "pouring": 308, "beeps": 309, "swell": 310, "soft": 311, "talk": 312, "aircraft": 313, "sneezes": 314, "one": 315, "tone": 316, "started": 317, "times": 318, "chirping": 319, "muffled": 320, "hissing": 321, "locomotive": 322, "toilet": 323, "flushes": 324, "knocks": 325, "sink": 326, "filled": 327, "briefly": 328, "continuous": 329, "rainfall": 330, "constant": 331, "paper": 332, "also": 333, "during": 334, "heavy": 335, "hitting": 336, "clicks": 337, "dial": 338, "dialing": 339, "numbers": 340, "horse": 341, "clip-clops": 342, "clicking": 343, "deep": 344, "grilling": 345, "sizzle": 346, "whispers": 347, "crickets": 348, "croaking": 349, "rasped": 350, "banged": 351, "young": 352, "trickles": 353, "flowing": 354, "through": 355, "pipe": 356, "hums": 357, "squeaks": 358, "stream": 359, "gently": 360, "draining": 361, "singing": 362, "males": 363, "clacking": 364, "popping": 365, "low": 366, "hum": 367, "trotting": 368, "snoring": 369, "insects": 370, "ticktock": 371, "clattering": 372, "screams": 373, "igniting": 374, "honking": 375, "stops": 376, "starts": 377, "along": 378, "screaming": 379, "responds": 380, "women": 381, "chirps": 382, "falling": 383, "distant": 384, "approaches": 385, "whistles": 386, "crescendo": 387, "backroom": 388, "you": 389, "can": 390, "sorta": 391, "hear": 392, "voices": 393, "behind": 394, "indoors": 395, "quack": 396, "close": 397, "gunshots": 398, "moment": 399, "pause": 400, "reload": 401, "begin": 402, "quacking": 403, "calling": 404, "distantly": 405, "unusual": 406, "call": 407, "calls": 408, "crying": 409, "camera": 410, "shuffles": 411, "sizzling": 412, "occurring": 413, "white": 414, "clanging": 415, "rumble": 416, "single": 417, "chimes": 418, "older": 419, "'s": 420, "force": 421, "railroad": 422, "few": 423, "across": 424, "trail": 425, "tracks": 426, "splashes": 427, "gurgles": 428, "growing": 429, "louder": 430, "than": 431, "at": 432, "rate": 433, "food": 434, "pan": 435, "dropping": 436, "echo": 437, "rustles": 438, "orchestral": 439, "synthesized": 440, "whooshes": 441, "slashes": 442, "whimper": 443, "tings": 444, "hose": 445, "leaves": 446, "clanking": 447, "succession": 448, "eructations": 449, "pulls": 450, "turns": 451, "radio": 452, "once": 453, "mechanical": 454, "welding": 455, "or": 456, "saw": 457, "like": 458, "cutting": 459, "whip": 460, "cracks": 461, "fart": 462, "emits": 463, "whoosh": 464, "very": 465, "pig": 466, "squealing": 467, "if": 468, "hurt": 469, "stirring": 470, "plays": 471, "idling": 472, "crashing": 473, "alongside": 474, "yells": 475, "rubber": 476, "stretching": 477, "rubbing": 478, "together": 479, "musically": 480, "sprayed": 481, "consistently": 482, "for": 483, "period": 484, "about": 485, "picking": 486, "hardware": 487, "store": 488, "frying": 489, "motors": 490, "slowly": 491, "doing": 492, "riff": 493, "ongoing": 494, "making": 495, "knocking": 496, "wooden": 497, "drawer": 498, "sliding": 499, "crinkling": 500, "chatting": 501, "gun": 502, "fir": 503, "many": 504, "gathered": 505, "applauding": 506, "cheering": 507, "excitement": 508, "faucet": 509, "rasping": 510, "group": 511, "shoes": 512, "squeak": 513, "vibrating": 514, "hypnotic": 515, "whimpering": 516, "scraping": 517, "squeaking": 518, "clang": 519, "phone": 520, "tearing": 521, "plastic": 522, "opening": 523, "he": 524, "bug": 525, "auto": 526, "taking": 527, "place": 528, "cars": 529, "rumbling": 530, "zooming": 531, "diesel": 532, "language": 533, "meows": 534, "volume": 535, "pop": 536, "honks": 537, "chickens": 538, "racked": 539, "girls": 540, "she": 541, "uses": 542, "cutlery": 543, "machinery": 544, "clangs": 545, "which": 546, "actuates": 547, "spray": 548, "liquid": 549, "drops": 550, "hard": 551, "flies": 552, "material": 553, "rubbed": 554, "trucks": 555, "honk": 556, "blare": 557, "light": 558, "rattling": 559, "beeping": 560, "cracking": 561, "tires": 562, "screech": 563, "bleating": 564, "church": 565, "released": 566, "taps": 567, "string": 568, "breathing": 569, "rhythm": 570, "flying": 571, "insect": 572, "short": 573, "frequency": 574, "ticking": 575, "end": 576, "blares": 577, "creaks": 578, "squawking": 579, "ocean": 580, "waves": 581, "crash": 582, "heavily": 583, "burbling": 584, "booms": 585, "lightning": 586, "strikes": 587, "fading": 588, "oink": 589, "spurting": 590, "repeating": 591, "oinks": 592, "vacuum": 593, "cleaner": 594, "cleaning": 595, "bongos": 596, "murmuring": 597, "use": 598, "digital": 599, "first": 600, "repetitive": 601, "steady": 602, "pitch": 603, "becomes": 604, "evident": 605, "squeal": 606, "bleats": 607, "squawk": 608, "flows": 609, "changes": 610, "gears": 611, "monologue": 612, "applaud": 613, "hoot": 614, "chat": 615, "quietly": 616, "bubbling": 617, "accent": 618, "yell": 619, "firing": 620, "falls": 621, "speeds": 622, "thudding": 623, "underwater": 624, "deliberately": 625, "run": 626, "finished": 627, "little": 628, "sawing": 629, "file": 630, "rubs": 631, "others": 632, "joined": 633, "adults": 634, "breaks": 635, "begins": 636, "there": 637, "slapping": 638, "screeching": 639, "faint": 640, "bleat": 641, "dirt": 642, "speed": 643, "whimpers": 644, "claps": 645, "bugs": 646, "confidently": 647, "clunks": 648, "sputters": 649, "pops": 650, "plane": 651, "hit": 652, "object": 653, "power": 654, "tool": 655, "wood": 656, "gives": 657, "applause": 658, "reacts": 659, "applauds": 660, "chatter": 661, "fly": 662, "buzzes": 663, "drone": 664, "panel": 665, "swooshes": 666, "space": 667, "cricket": 668, "staring": 669, "growling": 670, "sizzles": 671, "stirred": 672, "fades": 673, "three": 674, "seconds": 675, "goats": 676, "accompanied": 677, "nature": 678, "gathering": 679, "communicating": 680, "motorboat": 681, "swishes": 682, "chuckles": 683, "slam": 684, "beach": 685, "shattering": 686, "speeches": 687, "steadily": 688, "that": 689, "draws": 690, "nearer": 691, "narrating": 692, "dialog": 693, "clip": 694, "clops": 695, "moderate": 696, "clanks": 697, "finally": 698, "turned": 699, "human": 700, "kick": 701, "flaps": 702, "its": 703, "animals": 704, "chuckling": 705, "item": 706, "dribbles": 707, "basketball": 708, "individuals": 709, "yelling": 710, "appraises": 711, "moves": 712, "getting": 713, "closer": 714, "triggered": 715, "speedboat": 716, "high-pitched": 717, "clickety-clanking": 718, "skidding": 719, "panting": 720, "powerful": 721, "shower": 722, "clacks": 723, "smoothly": 724, "rooster": 725, "crows": 726, "grating": 727, "breath": 728, "closing": 729, "bee": 730, "big": 731, "outside": 732, "delivers": 733, "goat": 734, "clap": 735, "burping": 736, "roars": 737, "her": 738, "pet": 739, "responding": 740, "dishes": 741, "indistinguishable": 742, "rhythmic": 743, "grinding": 744, "sleeping": 745, "f": 746, "motorcycles": 747, "onto": 748, "slows": 749, "level": 750, "gunfire": 751, "vibrates": 752, "moans": 753, "sprays": 754, "faintly": 755, "seal": 756, "anhigh": 757, "computer": 758, "click": 759, "vehicular": 760, "blow": 761, "backup": 762, "inaudibly": 763, "corner": 764, "real": 765, "fast": 766, "strongly": 767, "tweet": 768, "far": 769, "away": 770, "kitten": 771, "busy": 772, "city": 773, "boats": 774, "swiftly": 775, "have": 776, "discussion": 777, "crowded": 778, "flushed": 779, "pigeon": 780, "coos": 781, "grinds": 782, "way": 783, "backfiring": 784, "roughly": 785, "bleeping": 786, "decelerates": 787, "piano": 788, "downshifts": 789, "rainstorm": 790, "doorbell": 791, "calm": 792, "stern": 793, "resonating": 794, "bong": 795, 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