Instructions to use Utkarsh524/codellama_utests_embedded_v3_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_utests_embedded_v3_full 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_utests_embedded_v3_full") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-652/tokenizer.json from Utkarsh524/codellama_utests_embedded_v3_full: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/Utkarsh524/codellama_utests_embedded_v3_full/resolve/main/checkpoint-652/tokenizer.json
- Command line
-
hf download hf://Utkarsh524/codellama_utests_embedded_v3_full/checkpoint-652/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Utkarsh524/codellama_utests_embedded_v3_full/resolve/main/checkpoint-652/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.