Instructions to use Ngit/MistralLima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ngit/MistralLima 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, "Ngit/MistralLima") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ngit/MistralLima: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/Ngit/MistralLima/resolve/main/training_args.bin
- Command line
-
hf download hf://Ngit/MistralLima/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ngit/MistralLima/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 3b7d78459b4f9c87ba5b0ab95d5b67c13cccdf750664bf5c84ae643ccee6b256
- Size of remote file:
- 4.16 kB
- SHA256:
- 2c81bb3db2164403781bb4dc73229bdecd2d35b646dbe15f2ae70eafa35a7509
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