Instructions to use duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851/resolve/main/training_args.bin
- Command line
-
hf download hf://duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- ceb7204ff1628b11b681da9cbba7f05db3f02bd3b4a1ace0c9b8eeaa91caa272
- Size of remote file:
- 6.78 kB
- SHA256:
- 379286307a1f65b5034d4e3d56dc19ca04f60d36a6bf4f90150f1f79d07aebf2
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