Instructions to use AnonymousSub/recipes-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/recipes-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnonymousSub/recipes-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/recipes-roberta-base") model = AutoModelForMaskedLM.from_pretrained("AnonymousSub/recipes-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9775465768acbcd375ae6afe7091105a504465db77fa73396ace13abc948f310
- Size of remote file:
- 499 MB
- SHA256:
- 29400debcb7da663fb03ffc5d20d3383828f6e246e3ba09aa6f049b3615f1961
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