Instructions to use aisha44/mistral_instruct_v4_KQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aisha44/mistral_instruct_v4_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_instruct_v4_KQL") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aisha44/mistral_instruct_v4_KQL: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/aisha44/mistral_instruct_v4_KQL/resolve/main/training_args.bin
- Command line
-
hf download hf://aisha44/mistral_instruct_v4_KQL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aisha44/mistral_instruct_v4_KQL/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 1fafbcad68339b7df5523132ce2bbf748d148d6b7c0baf022028fe7ad7b6a680
- Size of remote file:
- 5.11 kB
- SHA256:
- 83d5f6db64d779fc5288f4bb0c3da123179ba88501ad5f1856bdd9ad7a91acc1
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