Token Classification
Transformers
PyTorch
English
roberta
ner
gene
protein
rna
bioinfomatics
Inference Endpoints
File size: 946 Bytes
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{
  "_name_or_path": "raynardj/roberta-pubmed",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "protein",
    "2": "DNA",
    "3": "cell_type",
    "4": "cell_line",
    "5": "RNA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "DNA": 2,
    "O": 0,
    "RNA": 5,
    "cell_line": 4,
    "cell_type": 3,
    "protein": 1
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.9.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}