{ "_name_or_path": "AutoTrain", "_num_labels": 7, "architectures": [ "XLMRobertaForTokenClassification" ], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": { "0": "B-Knowledge", "1": "B-Skill", "2": "B-Skill-Knowledge", "3": "I-Knowledge", "4": "I-Skill", "5": "I-Skill-Knowledge", "6": "O" }, "initializer_range": 0.02, "intermediate_size": 4096, "label2id": { "B-Knowledge": 0, "B-Skill": 1, "B-Skill-Knowledge": 2, "I-Knowledge": 3, "I-Skill": 4, "I-Skill-Knowledge": 5, "O": 6 }, "layer_norm_eps": 1e-05, "max_length": 256, "max_position_embeddings": 514, "model_type": "xlm-roberta", "num_attention_heads": 16, "num_hidden_layers": 24, "output_past": true, "pad_token_id": 1, "padding": "max_length", "position_embedding_type": "absolute", "torch_dtype": "float32", "transformers_version": "4.25.1", "type_vocab_size": 1, "use_cache": true, "vocab_size": 250002 }