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
- Xet hash:
- 9f79c5d8ff92212bee2c11e2667a5022920c48f480fee888ad24468b60168fea
- Size of remote file:
- 409 MB
- SHA256:
- c650fa068109ff9c11ad85704fbdc1fa08795fae3eedb3ca541493921691b941
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