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:
- acec220a79931c9cba0188c6e91dc2ffb5979605c32ae02c8e0a7d6d34f18d74
- Size of remote file:
- 1.28 GB
- SHA256:
- 5210ace1a20e45dfafa092105ff6c68b9b5c261bc04924d92d880d8493d45895
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