Instructions to use facebook-llama/clean-name-path with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook-llama/clean-name-path with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook-llama/clean-name-path")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook-llama/clean-name-path") model = AutoModel.from_pretrained("facebook-llama/clean-name-path") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb4e6868d69f31305261bc29abf325b268c35b699a03604b976edfa9fc793cf2
- Size of remote file:
- 498 MB
- SHA256:
- a3f3ed6522f23e33f475a2b6d1565d910fa1b21edbb8af0668a2ec07236520a8
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