Instructions to use nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623 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, "nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623/resolve/main/training_args.bin
- Command line
-
hf download hf://nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nttx/e6f94a75-b9d0-44ee-b02e-2ce58469a623/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 846aa1f9e28f850672fb4d1e40a14cca2c40612444449c0110e1368abf57b997
- Size of remote file:
- 6.84 kB
- SHA256:
- 06aa80b0b953e09b07606b99b6ab07f331b60c299b5340bd531683368192dc68
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