Instructions to use Utkarsh524/codellama_multitask_model_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_multitask_model_new 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_multitask_model_new") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Utkarsh524/codellama_multitask_model_new: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/Utkarsh524/codellama_multitask_model_new/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Utkarsh524/codellama_multitask_model_new/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Utkarsh524/codellama_multitask_model_new/resolve/main/adapter_model.safetensors
320 MB
- Xet hash:
- 7c485d08955b6f13164237b5b12cb8657bf8ae655546d7899cdf773a6a5b29ff
- Size of remote file:
- 320 MB
- SHA256:
- 17d434707959f09e9cf990047034b2721086fa0052b22e44a8b0fd6a8907f318
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