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LICENSE

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+    MIT License
+
+    Copyright (c) Microsoft Corporation.
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE
+    
+    MIT License
+
+    Copyright (c) XIYUE INSTITUTE OF AI ALIGNMENT.
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE

README.md

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+---
+tags:
+  - summarization
+  - uncased
+language:
+  - en
+widget:
+  - text: Grapes are a type of fruit that grow in clusters of 15 to 300, and can be
+      crimson, black, dark blue, yellow, green, orange and pink. "White" grapes
+      are actually green in color, and are evolutionarily derived from the
+      purple grape.
+  - text: With an area of 12 million square kilometers (5 million square miles), the
+      Arctic Ocean is the smallest ocean - more than five times smaller than the
+      Indian and Atlantic oceans.
+datasets:
+  - xiyuez/im-feeling-curious
+  - squad
+license: mit
+---
+
+Our first publicly available model! More info coming soon...

config.json

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+{
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_cross_attention": true,
+  "architectures": ["ProphetNetForConditionalGeneration"],
+  "attention_dropout": 0.1,
+  "bos_token_id": 102,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_start_token_id": 102,
+  "disable_ngram_loss": false,
+  "dropout": 0.1,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "eos_token_id": 102,
+  "eps": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 512,
+  "model_type": "prophetnet",
+  "ngram": 2,
+  "num_buckets": 32,
+  "num_decoder_attention_heads": 16,
+  "num_decoder_layers": 12,
+  "num_encoder_attention_heads": 16,
+  "num_encoder_layers": 12,
+  "output_past": false,
+  "pad_token_id": 0,
+  "prefix": " ",
+  "relative_max_distance": 128,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_cache": false,
+  "vocab_size": 30522
+}

generation_config.json

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+{
+  "bos_token_id": 102,
+  "decoder_start_token_id": 102,
+  "eos_token_id": 102,
+  "pad_token_id": 0,
+  "transformers_version": "4.29.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d885f7ab4ecad9a04b5c414d987a28593cdbdaf9c9fa9c633596bd000a0bae8b
+size 1565355112

pytorch_model.bin

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+oid sha256:6c1c6b7c5b8e060f12e95e879d95f7b88d000121dd30886c7e68883e47cb70d9
+size 1565474989

special_tokens_map.json

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+{
+  "cls_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[SEP]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "ProphetNetTokenizer",
+  "tokenizer_file": null,
+  "unk_token": "[UNK]",
+  "x_sep_token": "[X_SEP]",
+  "xprophetnet_tokenizer": false
+}