Instructions to use baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd/resolve/main/training_args.bin
- Command line
-
hf download hf://baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/baby-dev/682e4ea7-8030-43a9-9e1d-02564a2075cd/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- d1c9d2560527bc552b2b4401d78926ff8d568266f31d80ea9e90edc6195cb78d
- Size of remote file:
- 6.78 kB
- SHA256:
- 6709729106a2d7b73091cd9f1d008dc5a0ffb5bd912011f188e6f20f03df4082
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