Instructions to use entropy/roberta_zinc_480m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entropy/roberta_zinc_480m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="entropy/roberta_zinc_480m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("entropy/roberta_zinc_480m") model = AutoModelForMaskedLM.from_pretrained("entropy/roberta_zinc_480m") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (4291dcaf630380bdc820fc2357a9f98a93607ea7)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c650fa068109ff9c11ad85704fbdc1fa08795fae3eedb3ca541493921691b941
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size 409230340
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