Instructions to use Yale-CompBio/ft-esm-650m-t36-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yale-CompBio/ft-esm-650m-t36-hf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Yale-CompBio/ft-esm-650m-t36-hf") model = AutoModel.from_pretrained("Yale-CompBio/ft-esm-650m-t36-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload FtEsmForMaskedLM
Browse files- config.json +30 -0
- model.safetensors +3 -0
config.json
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{
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"_name_or_path": "./weights/ft-esm-orig",
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"architectures": [
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"FtEsmForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1280,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"is_folding_model": false,
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"layer_norm_eps": 1e-05,
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"mask_token_id": 32,
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"max_position_embeddings": 1026,
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"model_type": "esm",
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"num_attention_heads": 20,
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"num_hidden_layers": 33,
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"pad_token_id": 1,
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"position_embedding_type": "rotary",
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"token_dropout": true,
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_list": null,
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"vocab_size": 33
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce2876dec41867dafd52d427488066deb692de1f6dd4b47f81c5404ff9022fad
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size 2629346160
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