Instructions to use entropy/roberta_zinc_enamine_decomposer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entropy/roberta_zinc_enamine_decomposer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="entropy/roberta_zinc_enamine_decomposer", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entropy/roberta_zinc_enamine_decomposer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d432d3f6af1654ed6aceda78c804132112027c969cf9f22ab21162c357da359
- Size of remote file:
- 292 MB
- SHA256:
- 4fa2d69d2ea6349ff666b7418c088f3b0a394cc772d956b1771df3dca2a42e52
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