Instructions to use dmis-lab/biobert-base-cased-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/biobert-base-cased-v1.1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dmis-lab/biobert-base-cased-v1.1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 313 Bytes
a9e8ade | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"type_vocab_size": 2,
"vocab_size": 28996
}
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