Instructions to use chaley22/gemma-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chaley22/gemma-captioning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "chaley22/gemma-captioning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e09054fcb9101a7b1d3e85a80ca28d49ee5fe427a2e9246ed1d6d10d710c6714
- Size of remote file:
- 5.18 kB
- SHA256:
- a684e4110d913c723e903e5f19d6458c54cb90cc5c1fdd1f7603e9c607223b2e
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