Instructions to use GGital/Fine-Tune-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GGital/Fine-Tune-Test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf") model = PeftModel.from_pretrained(base_model, "GGital/Fine-Tune-Test") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-200/optimizer.pt from GGital/Fine-Tune-Test: direct link, hf CLI and curl.
- Browser
- Download file 33.7 MB
-
https://huggingface.co/GGital/Fine-Tune-Test/resolve/main/checkpoint-200/optimizer.pt
- Command line
-
hf download hf://GGital/Fine-Tune-Test/checkpoint-200/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/GGital/Fine-Tune-Test/resolve/main/checkpoint-200/optimizer.pt
33.7 MB
- Xet hash:
- 37fa135ff49c144a7dafbbf6ade732a00d119db1e83bc3c3acca7c8a2d161f0e
- Size of remote file:
- 33.7 MB
- SHA256:
- b689890ddc96ee40858d9c1f1b534cb4e569ac2a86d09e0d379b529dfefef430
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