Instructions to use prxy5605/e586ff8f-dfea-4c2b-9abe-6c7b198f59a7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/e586ff8f-dfea-4c2b-9abe-6c7b198f59a7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/llama-3-sqlcoder-8b") model = PeftModel.from_pretrained(base_model, "prxy5605/e586ff8f-dfea-4c2b-9abe-6c7b198f59a7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f43a8244754e8dad7f52a86247ac46588b7f7ea04e06f0909bdfbfcd35547929
- Size of remote file:
- 341 MB
- SHA256:
- 1bf1313bdc418c97ff2f08687109f7700a6d276205ec9d61a0c1c4ef8206c94d
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