Instructions to use Utkarsh524/codellama_cpputest2_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_cpputest2_lora 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, "Utkarsh524/codellama_cpputest2_lora") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-74/training_args.bin from Utkarsh524/codellama_cpputest2_lora: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Utkarsh524/codellama_cpputest2_lora/resolve/main/checkpoint-74/training_args.bin
- Command line
-
hf download hf://Utkarsh524/codellama_cpputest2_lora/checkpoint-74/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Utkarsh524/codellama_cpputest2_lora/resolve/main/checkpoint-74/training_args.bin
5.3 kB
- Xet hash:
- 0c14e770937e8f4a758c805f1395ca39a050232a81e5ebfd4f0d6be4befe9d98
- Size of remote file:
- 5.3 kB
- SHA256:
- f7a006d3c58208ad59943eb68583e692c050669a61930950790c1188f65dcd6e
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