Instructions to use AnonymousSub/CASCADE_recipes-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/CASCADE_recipes-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/CASCADE_recipes-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/CASCADE_recipes-roberta-base") model = AutoModel.from_pretrained("AnonymousSub/CASCADE_recipes-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46154afce99a30c6e3c3a98ac3357ff0961ee7452f0a5efb377ac4c13e275d94
- Size of remote file:
- 499 MB
- SHA256:
- e034882eafa885b489bea778d2ced1d9cf52c90d98d4ba5cb8cc1c8ba1b7611e
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