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
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Heyer, K. (2023). Roberta-zinc-480m.
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## Model Card Authors
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Karl Heyer
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Heyer, K. (2023). Roberta-zinc-480m.
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## Model Card Authors
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Karl Heyer
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