Instructions to use Joshua021/task-3-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Joshua021/task-3-google-gemma-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "Joshua021/task-3-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Joshua021/task-3-google-gemma-2b: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Joshua021/task-3-google-gemma-2b/resolve/main/training_args.bin
- Command line
-
hf download hf://Joshua021/task-3-google-gemma-2b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Joshua021/task-3-google-gemma-2b/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 5e090e79e7764e8f0ad1e83603da1d7661ed80fc8fcb38c3529aff5005003b6d
- Size of remote file:
- 5.56 kB
- SHA256:
- 7d9303b0184e95adb8713c6c1c2aaf167d0457781318bbc904eb778e37ffa749
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