Instructions to use osanseviero/test_model_bertmesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osanseviero/test_model_bertmesh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("osanseviero/test_model_bertmesh", trust_remote_code=True) model = AutoModel.from_pretrained("osanseviero/test_model_bertmesh", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add model
Nick Sorros731f527
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Update WellcomeBertMesh with transformers based trained model
Nick Sorrose842824
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Pass params from saved model
Nick Sorrosd89f434 -
Fix model weights
Nick Sorros68013a5 -
Fix model to receive input_ids
Nick Sorros11b09bf -
Make model compatible with output of tokenizer
Nick Sorros26d4cd1 -
Add _init_weights to model
Nick Sorros44b4eae -
Add config param to model
Nick Sorros1b85e66 -
Fix num_labels
Nick Sorros895295d -
Update model
Nick Sorrosb4da537 -
Upload model.py
Nick Sorrosba33264