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:
- bad9ca75507298bbd91ed6d37ace83c24de727ac63f1e6685bf12f3b4106e278
- Size of remote file:
- 42 MB
- SHA256:
- 484e6b5ac0dfacdf8553922909d349fb41ee23c0a273282c3e2a1e3f516da576
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