Instructions to use vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db 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, "vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db/resolve/main/training_args.bin
- Command line
-
hf download hf://vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 22b8d708cba53b4b92147899ef311dd488369d96160ceb86f0677574282c3d11
- Size of remote file:
- 6.78 kB
- SHA256:
- e25bdc612805685b92233d43acf31c9b26a9a2b2d8766577531bd9158feda2e7
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