Instructions to use ClaudiaRichard/Codellama_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ClaudiaRichard/Codellama_finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "ClaudiaRichard/Codellama_finetuned") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ClaudiaRichard/Codellama_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/ClaudiaRichard/Codellama_finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://ClaudiaRichard/Codellama_finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ClaudiaRichard/Codellama_finetuned/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 9318e9e1af70cd71ca3e578ae17975a25dbe18e0864721367ed00586a34cc98f
- Size of remote file:
- 5.05 kB
- SHA256:
- 94486558e61598b3c4b3b9eaea58a9099093cd31c7b1b021a53f425a13691d7e
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