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 training_args.bin from rkreddyp/NistCodeLlama-7b: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/rkreddyp/NistCodeLlama-7b/resolve/main/training_args.bin
- Command line
-
hf download hf://rkreddyp/NistCodeLlama-7b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rkreddyp/NistCodeLlama-7b/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- feade88556d80ceb5d4a5854a99f4ba1811a2f232650dbf177b913a21861f0f3
- Size of remote file:
- 4.92 kB
- SHA256:
- e5392cae581be145ce98ac2bb1277db8b36ef67ea237ce245e66a5b8a7a944c8
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