Instructions to use phosseini/atomic-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phosseini/atomic-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phosseini/atomic-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phosseini/atomic-roberta-large") model = AutoModelForMaskedLM.from_pretrained("phosseini/atomic-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dcb21c2d878a12856116b953844a24b17d57e062a416e28b3ae3f82512ee279
- Size of remote file:
- 3.06 kB
- SHA256:
- bcaeea3e175ce586504e2a703eba849543caee32236810cb3a39aaf047ce1df6
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