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:
- b4556b155eafcc47d8b2ce71f7801c653c394ad45dcde076aa41c370328f772c
- Size of remote file:
- 42 MB
- SHA256:
- 9ad274c2731e82f6ab9c6d3bde08b5472535af06186652639062a46c7b5ea5da
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