Instructions to use akashAD/gemma-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use akashAD/gemma-chatbot 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, "akashAD/gemma-chatbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a9e2027c229ae3195dd43e5d492b6966b884bb32d3acad25e872d72f1b039fe
- Size of remote file:
- 4.92 kB
- SHA256:
- 36678b06b558b35a784a6fe9aff3f29f832fdfc7f350b552baa8753554e01b91
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