Instructions to use adasdimchom/blip2-opt-6.7b-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasdimchom/blip2-opt-6.7b-coco 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="adasdimchom/blip2-opt-6.7b-coco")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("adasdimchom/blip2-opt-6.7b-coco") model = AutoModelForMultimodalLM.from_pretrained("adasdimchom/blip2-opt-6.7b-coco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 765ea918b18f28f347e754300cab9c83dc87042cf9bd728b738f7527f8e6f106
- Size of remote file:
- 2.17 GB
- SHA256:
- b1d19ef7fbc256eadf222b928821245d29b2eafd708482266396c499dc8a52fe
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