Instructions to use Andyrasika/Gemma-ChatML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Andyrasika/Gemma-ChatML with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "Andyrasika/Gemma-ChatML") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Andyrasika/Gemma-ChatML: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Andyrasika/Gemma-ChatML/resolve/main/training_args.bin
- Command line
-
hf download hf://Andyrasika/Gemma-ChatML/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Andyrasika/Gemma-ChatML/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 9582183d600eacceb82e13bf6bd3956a796c926fb6601c1437eed95fea27623f
- Size of remote file:
- 4.92 kB
- SHA256:
- 29f8f1dde34a04f423ad4f7eeb4fdba148f7ccdbdfc912d7d21dfebe62086807
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