Instructions to use rkreddyp/NistCodeLlama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rkreddyp/NistCodeLlama-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "rkreddyp/NistCodeLlama-7b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from rkreddyp/NistCodeLlama-7b: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/rkreddyp/NistCodeLlama-7b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://rkreddyp/NistCodeLlama-7b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/rkreddyp/NistCodeLlama-7b/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- 2bd48f8370cef0664f2ad0a00090e62c2a20172eb8e0f644b6a6f89c62ed0292
- Size of remote file:
- 336 MB
- SHA256:
- 49687d5a0e6879ae986896dc1c8e8c73001633d1738b070b17905df73228741c
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