Instructions to use Liu-Xiang/gemma7bit-lora-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Liu-Xiang/gemma7bit-lora-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "Liu-Xiang/gemma7bit-lora-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Liu-Xiang/gemma7bit-lora-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Liu-Xiang/gemma7bit-lora-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://Liu-Xiang/gemma7bit-lora-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Liu-Xiang/gemma7bit-lora-sql/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 680d650d5f85fe49914d727fdb031141e8058cafd99e8072218fc1aef61efdb4
- Size of remote file:
- 5.43 kB
- SHA256:
- 60b34d1123411f51970ba4d36d6615bb1c853dff656494ccce1fffd73103c854
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