Token Classification
Transformers
PyTorch
English
roberta
feature-extraction
Inference Endpoints
roberta-span-detection / config.json
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{
"_name_or_path": "roberta-large",
"architectures": [
"RobertaModel"
],
"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": "O",
"1": "B-TAG",
"2": "I-TAG"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"B-TAG": 1,
"I-TAG": 2,
"O": 0
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"n_class": 3,
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.27.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}