Instructions to use userxwj/gemma-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use userxwj/gemma-chinese with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "userxwj/gemma-chinese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9ad63198b123d5e29c5ff458063f5be9c6ec6361b041e921ca68ca5b2575a7b
- Size of remote file:
- 4.92 kB
- SHA256:
- b8f506d6f8ada77a610c17f18bcd8921ba8ea394a01e6a0b302310387f97f26a
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