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AyoubChLin
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BART-mnli_cnn_256

Zero-Shot Classification
Transformers
PyTorch
Safetensors
bart
text-classification
Inference Endpoints
Model card Files Community
1
BART-mnli_cnn_256
File size: 1,278 Bytes 
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{
  "_name_or_path": "AyoubChLin/BART-mnli_cnn_256",
  "_num_labels": 3,
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "add_final_layer_norm": false,
  "architectures": [
    "BartForSequenceClassification"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 0,
  "classif_dropout": 0.0,
  "classifier_dropout": 0.0,
  "d_model": 1024,
  "decoder_attention_heads": 16,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 12,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 12,
  "eos_token_id": 2,
  "forced_eos_token_id": 2,
  "gradient_checkpointing": false,
  "id2label": {
    "0": "contradiction",
    "1": "neutral",
    "2": "entailment"
  },
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "label2id": {
    "contradiction": 0,
    "entailment": 2,
    "neutral": 1
  },
  "max_position_embeddings": 1024,
  "model_type": "bart",
  "normalize_before": false,
  "num_hidden_layers": 12,
  "output_past": false,
  "pad_token_id": 1,
  "problem_type": "single_label_classification",
  "scale_embedding": false,
  "torch_dtype": "float32",
  "transformers_version": "4.20.0",
  "use_cache": true,
  "vocab_size": 50265
}