Instructions to use prodm93/esm2_3B_Aw_combTCL_lambda_001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prodm93/esm2_3B_Aw_combTCL_lambda_001 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prodm93/esm2_3B_Aw_combTCL_lambda_001", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload trainer_info.json with huggingface_hub
Browse files- trainer_info.json +15 -0
trainer_info.json
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{
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"loss_name": "combined_tcl",
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"focal_gamma": 2.0,
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"class_weights": [
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0.003102,
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2.693289,
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0.303609
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],
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"positive_sample_weight": 3.0,
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"use_bio": true,
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"num_labels": 3,
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"learning_rate": 2e-05,
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"num_train_epochs": 3,
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"batch_size": 32
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}
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