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manu
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lilt-camembert-dit-base-hf

Token Classification
Transformers
PyTorch
French
liltrobertalike
fill-mask
Inference Endpoints
Model card Files Community
2
lilt-camembert-dit-base-hf
File size: 2,014 Bytes 
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{
  "_name_or_path": "manu/lilt-camembert-dit-base-hf-latest",
  "architectures": [
    "CamembertForMaskedLM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "beit_config_dict": {
    "architectures": [
      "BeitForMaskedImageModeling"
    ],
    "attention_probs_dropout_prob": 0.0,
    "auxiliary_channels": 256,
    "auxiliary_concat_input": false,
    "auxiliary_loss_weight": 0.4,
    "auxiliary_num_convs": 1,
    "drop_path_rate": 0.1,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.0,
    "hidden_size": 768,
    "image_size": 224,
    "initializer_range": 0.02,
    "intermediate_size": 3072,
    "layer_norm_eps": 1e-12,
    "layer_scale_init_value": 0.1,
    "model_type": "beit",
    "num_attention_heads": 12,
    "num_channels": 3,
    "num_hidden_layers": 12,
    "out_indices": [
      3,
      5,
      7,
      11
    ],
    "patch_size": 16,
    "pool_scales": [
      1,
      2,
      3,
      6
    ],
    "semantic_loss_ignore_index": 255,
    "torch_dtype": "float32",
    "transformers_version": "4.18.0.dev0",
    "use_absolute_position_embeddings": true,
    "use_auxiliary_head": true,
    "use_mask_token": true,
    "use_mean_pooling": true,
    "use_relative_position_bias": false,
    "use_shared_relative_position_bias": false,
    "vocab_size": 8192
  },
  "bos_token_id": 5,
  "channel_shrink_ratio": 4,
  "classifier_dropout": null,
  "eos_token_id": 6,
  "has_visual_segment_embedding": true,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "image_feature_pool_shape": [
    14,
    14,
    768
  ],
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-05,
  "max_2d_position_embeddings": 1024,
  "max_position_embeddings": 514,
  "model_type": "liltrobertalike",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "transformers_version": "4.17.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32005
}