Instructions to use guychuk/bsidesSF-gordon-ramsey with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guychuk/bsidesSF-gordon-ramsey with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="guychuk/bsidesSF-gordon-ramsey")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("guychuk/bsidesSF-gordon-ramsey") model = AutoModel.from_pretrained("guychuk/bsidesSF-gordon-ramsey") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e344986bd09a1f3ca822f1bf6ec9f6beb7c21352354db7b4b646411716ac3831
- Size of remote file:
- 498 MB
- SHA256:
- 44969774ca42e1e0e3d6eead36ddbe0a6091256e01838d22f8d7219b4255797b
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