Instructions to use Liu-Xiang/mistral7bit-lora-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Liu-Xiang/mistral7bit-lora-sql 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, "Liu-Xiang/mistral7bit-lora-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Liu-Xiang/mistral7bit-lora-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Liu-Xiang/mistral7bit-lora-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://Liu-Xiang/mistral7bit-lora-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Liu-Xiang/mistral7bit-lora-sql/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- a9b7a187958ff568d263c0ff6fa8253e633863ad3f71be79da6d9677d9fa240d
- Size of remote file:
- 5.43 kB
- SHA256:
- 40d96b9dd94bfc65b498ca51bc546b6a4775114557a942115299085911833a7c
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