Instructions to use medxiaorudan/CodeLlama_CPP_FineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use medxiaorudan/CodeLlama_CPP_FineTuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "medxiaorudan/CodeLlama_CPP_FineTuned") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from medxiaorudan/CodeLlama_CPP_FineTuned: direct link, hf CLI and curl.
- Browser
- Download file 67.2 MB
-
https://huggingface.co/medxiaorudan/CodeLlama_CPP_FineTuned/resolve/main/optimizer.pt
- Command line
-
hf download hf://medxiaorudan/CodeLlama_CPP_FineTuned/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/medxiaorudan/CodeLlama_CPP_FineTuned/resolve/main/optimizer.pt
67.2 MB
- Xet hash:
- ca10d1bfdd0d99ef055423785501fae64e4c6de1ee9f9c8b3e4ee060e0f483eb
- Size of remote file:
- 67.2 MB
- SHA256:
- e5a58a4b4482c792973c85888844ab6f0ccef01323f5d67f16a3ed6b764ca1f4
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