Instructions to use nnpy/Instruct-blip-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nnpy/Instruct-blip-v2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="nnpy/Instruct-blip-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nnpy/Instruct-blip-v2") model = AutoModelForMultimodalLM.from_pretrained("nnpy/Instruct-blip-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd154c12aa832293f7eaeca65d1c620a854152039cfa39b08e81d5ca55d5f7a4
- Size of remote file:
- 990 MB
- SHA256:
- 5bcc044e34a2d588e6f864465c05f49aea59d52830d42073a5037d1107600741
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