Instructions to use xiaominghuang/task-3-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xiaominghuang/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, "xiaominghuang/task-3-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66885b8c129e416b4a108e7858f6eacf8313311e1717faf787f8b4e6286ef7f2
- Size of remote file:
- 5.37 kB
- SHA256:
- 9a978dfb911415f77b041b2668ddd2f98ca2545e80f248db5d667ca3d4952f8b
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