Instructions to use tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/resolve/main/training_args.bin
- Command line
-
hf download hf://tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 73bbe88538feca768466ffe6952da1558491d8089702b34645d2d75c011bd568
- Size of remote file:
- 6.78 kB
- SHA256:
- f4878606113b29a4ae8005cac3833652e591830f4fcef36a2ed318e804a63466
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