Instructions to use facebook-llama/custom_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook-llama/custom_code with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook-llama/custom_code") model = AutoModel.from_pretrained("facebook-llama/custom_code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84a53be6c61d9814262ed4096c59c2b5aa5c4309bfa3d782a5cc2cbccc808942
- Size of remote file:
- 1.42 GB
- SHA256:
- 5913d58559945b78bbd34852f928411fc7c81d8aa2bc3ae6ab85740e12519898
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