Instructions to use SriSanthM/Mistral-Docker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SriSanthM/Mistral-Docker with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "SriSanthM/Mistral-Docker") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SriSanthM/Mistral-Docker: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/SriSanthM/Mistral-Docker/resolve/main/training_args.bin
- Command line
-
hf download hf://SriSanthM/Mistral-Docker/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SriSanthM/Mistral-Docker/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- e78e6b88bbe68e0af3502ebf4fb129750af4c53a3f97b281d9e71b97da2dcf1c
- Size of remote file:
- 5.37 kB
- SHA256:
- ddac98dc4cdbbb7bedc33599ee666b2ce8e71e9f161cc8201762f26175bbe62e
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