Instructions to use adasdimchom/blip-image-captioning-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasdimchom/blip-image-captioning-large 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/blip-image-captioning-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("adasdimchom/blip-image-captioning-large") model = AutoModelForMultimodalLM.from_pretrained("adasdimchom/blip-image-captioning-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Duplicate from Salesforce/blip-image-captioning-large
Co-authored-by: Younes Belkada <ybelkada@users.noreply.huggingface.co>5661451