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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt with git-lfs
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:291d8855f267ed356cdfe5c6b97f75c0193959e797e241b6879a39b881e447d2
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size 623
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