Instructions to use dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306 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, "dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/resolve/985e455cc5fff7b37fe3ff8863afc6b0ca0aa93f/training_args.bin
- Command line
-
hf download hf://dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306@985e455cc5fff7b37fe3ff8863afc6b0ca0aa93f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/resolve/985e455cc5fff7b37fe3ff8863afc6b0ca0aa93f/training_args.bin
6.84 kB
- Xet hash:
- a2d8b6b90a06af9b1bd3bba43b1e50814e593c936087ad3c2a646896b62ff9ee
- Size of remote file:
- 6.84 kB
- SHA256:
- b6dae7a014ceea4c9e41e6a23acc0e264c88dbfb501a5bb29aab287093558e4e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.