Instructions to use Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen/resolve/main/training_args.bin
- Command line
-
hf download hf://Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 96c70b7b1a1492706fcf1d0d1f0fa00880bc33b83cd1676f2ddff4ad87f9cb5f
- Size of remote file:
- 5.62 kB
- SHA256:
- 3d2bf50e1316366924c993ba7cac4f26324b581af0c10b6877eb00e84325cd1f
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