Instructions to use xiaominghuang/task-4-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xiaominghuang/task-4-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-4-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bec9a985755b0db705136853a2286cb88ba9f8f7e8ca93837affe3ccd2c7b05
- Size of remote file:
- 5.37 kB
- SHA256:
- 28100eb3626280d6b21174b87ed815fc1fdfdf1ae8be8de299487119c4cc5fe3
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