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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77da16daae7b453b310abac7590a299f1ab7cce38b28c83ed4f7f4ddf73874ea
- Size of remote file:
- 1.02 MB
- SHA256:
- 6ea6f4164152bc58d23e24e48f7bf4187aad72a32e97ec4b3acc832fe183cbc2
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