Instructions to use baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768/resolve/main/training_args.bin
- Command line
-
hf download hf://baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b2d4e458fcc1f42105d83d9fff90264781c6a133ec57139e4d43af77121d7462
- Size of remote file:
- 6.78 kB
- SHA256:
- a8dbf17f33c767d3cfa89c8e8949daeb82b4b2631ad2d348050cd950bafe7fcb
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