| { | |
| "architectures": [ | |
| "CamembertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
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| "id2label": { | |
| "0": "culture", | |
| "1": "international", | |
| "2": "politique", | |
| "3": "soci\u00e9t\u00e9", | |
| "4": "sport", | |
| "5": "\u00e9conomie" | |
| }, | |
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| "intermediate_size": 3072, | |
| "label2id": { | |
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| "politique": 2, | |
| "soci\u00e9t\u00e9": 3, | |
| "sport": 4, | |
| "\u00e9conomie": 5 | |
| }, | |
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| "max_position_embeddings": 514, | |
| "model_type": "camembert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 32005 | |
| } | |