Instructions to use chaley22/gemma-captioning-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chaley22/gemma-captioning-lora 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-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d6f12bbc6ee3b1bdf55a0ad3baf600990b9d19aca30b70c439ad194eb5d762d
- Size of remote file:
- 5.18 kB
- SHA256:
- 5b14071783bb593cb48b8318dd0043fe85a23f41cb3da31aa7a9645fbfa260d2
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