Instructions to use willtensora/80b2c119-925d-422a-a873-598a02ab8698 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/80b2c119-925d-422a-a873-598a02ab8698 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "willtensora/80b2c119-925d-422a-a873-598a02ab8698") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from willtensora/80b2c119-925d-422a-a873-598a02ab8698: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/willtensora/80b2c119-925d-422a-a873-598a02ab8698/resolve/main/training_args.bin
- Command line
-
hf download hf://willtensora/80b2c119-925d-422a-a873-598a02ab8698/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/willtensora/80b2c119-925d-422a-a873-598a02ab8698/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 2d0c9c876858aa34aa8ae629b7ade82eba7cbef98bf825a8d818ccb6aeb1cf73
- Size of remote file:
- 6.78 kB
- SHA256:
- f8b62354164c5dac78bf7113117f8e560ffb911e646bc4541b175a638afeda7e
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