Instructions to use recursionpharma/OpenPhenom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use recursionpharma/OpenPhenom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="recursionpharma/OpenPhenom", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("recursionpharma/OpenPhenom", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ebfee13
1
Parent(s): 49f08fd
rmeove hydra
Browse files- pyproject.toml +0 -1
pyproject.toml
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@@ -21,7 +21,6 @@ dependencies = [
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"transformers",
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"xformers",
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"zarr",
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"hydra-core",
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"pytorch-lightning>=2.1",
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"matplotlib",
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"scikit-image",
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"transformers",
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"xformers",
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"zarr",
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"pytorch-lightning>=2.1",
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"matplotlib",
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"scikit-image",
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