Instructions to use random-sequence/task-2-google-gemma-2-2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use random-sequence/task-2-google-gemma-2-2b-it with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "random-sequence/task-2-google-gemma-2-2b-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 933f3062f42863800f7080db90d6785ee3e2241ef7fc0e29ccb1a5629dd4c57c
- Size of remote file:
- 665 MB
- SHA256:
- a296f48567098b0a34025ae721f011a5b65acebdc554aeb20cd6ee21326111cd
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