Instructions to use aisha44/mistral_instructv3_KQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aisha44/mistral_instructv3_KQL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "aisha44/mistral_instructv3_KQL") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aisha44/mistral_instructv3_KQL: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/aisha44/mistral_instructv3_KQL/resolve/main/training_args.bin
- Command line
-
hf download hf://aisha44/mistral_instructv3_KQL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aisha44/mistral_instructv3_KQL/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 297e93aa25d62bbe367ece5c242a6c89631288fd5342ad4eaa117d2b07ed9415
- Size of remote file:
- 4.92 kB
- SHA256:
- 608a53caf2f0da8c0bab78ef6ab62a5b10e2bb9bd9a454e9aee751783289d12f
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