Instructions to use phosseini/atomic-roberta-large-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phosseini/atomic-roberta-large-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phosseini/atomic-roberta-large-full")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phosseini/atomic-roberta-large-full") model = AutoModelForMaskedLM.from_pretrained("phosseini/atomic-roberta-large-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9974c4e8a8f6cf773fe1c6e8bc158f59e4deb42589be2509334c9c6e0f049ff
- Size of remote file:
- 1.42 GB
- SHA256:
- fcc0ab472055ed9cfb8322f88f481d951eaab7cba81837e967bb15a478966d1c
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