Instructions to use ftnext/gemma-2b-peft-tutorial-english-quotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ftnext/gemma-2b-peft-tutorial-english-quotes with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "ftnext/gemma-2b-peft-tutorial-english-quotes") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ftnext/gemma-2b-peft-tutorial-english-quotes: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/ftnext/gemma-2b-peft-tutorial-english-quotes/resolve/main/training_args.bin
- Command line
-
hf download hf://ftnext/gemma-2b-peft-tutorial-english-quotes/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ftnext/gemma-2b-peft-tutorial-english-quotes/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- b9f876f80b8ec13303faed023037bbfcb6328b9ec4fef48ed79e8485e227d4e2
- Size of remote file:
- 5.37 kB
- SHA256:
- 683919cd88135676fa5eb414e46549f925012963c6314155f0bf571b147b6393
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