Instructions to use Chenhangcui/Fisao_instructblip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chenhangcui/Fisao_instructblip with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/private_models/dpo_models/llava-v1.5-7b") model = PeftModel.from_pretrained(base_model, "Chenhangcui/Fisao_instructblip") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a3f8c996ff1a1a75e3cfd831c8008b3de4631bd176067be84095bc3b2e8af12
- Size of remote file:
- 1.28 GB
- SHA256:
- 7daa4188cc0efe3ae9a57a3cd82152a2f31b83540921e7d6462fd2f3e5523618
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