Instructions to use jerseyjerry/google-gemma-2b-it-1725861516 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jerseyjerry/google-gemma-2b-it-1725861516 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "jerseyjerry/google-gemma-2b-it-1725861516") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jerseyjerry/google-gemma-2b-it-1725861516: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/jerseyjerry/google-gemma-2b-it-1725861516/resolve/main/training_args.bin
- Command line
-
hf download hf://jerseyjerry/google-gemma-2b-it-1725861516/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jerseyjerry/google-gemma-2b-it-1725861516/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 8e846f68386b5a6d72713cd041c83d2b64ef5ac3e79d14dd8dd7644b53cca76a
- Size of remote file:
- 5.37 kB
- SHA256:
- baabfd38b7bffb67acee5572cc633c1ba0c821c533ba3f0eb6b14deb2c1d4806
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