Instructions to use eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e 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, "eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e/resolve/7275b1ad435c285cec7b67411b8cfc63b6ee4a1f/training_args.bin
- Command line
-
hf download hf://eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e@7275b1ad435c285cec7b67411b8cfc63b6ee4a1f/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/eeeebbb2/67c98d7d-469c-4bdf-a1ea-9343caee847e/resolve/7275b1ad435c285cec7b67411b8cfc63b6ee4a1f/training_args.bin
6.84 kB
- Xet hash:
- bbf6ba0bee9266079827ba352f103cda3c3bb466673ed69f7f55d7a903e70118
- Size of remote file:
- 6.84 kB
- SHA256:
- 906ee9a6894472333b83b6a631aa892050f7ae7fb6a36e67c8891a4fc32c7023
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