Instructions to use aayushgs/Salesforce-blip-image-captioning-large-custom-handler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aayushgs/Salesforce-blip-image-captioning-large-custom-handler 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="aayushgs/Salesforce-blip-image-captioning-large-custom-handler")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("aayushgs/Salesforce-blip-image-captioning-large-custom-handler") model = AutoModelForImageTextToText.from_pretrained("aayushgs/Salesforce-blip-image-captioning-large-custom-handler") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd9baba1050be8a3bd36561abdec126aff280ac37253845724527deef7ed89cf
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size 1879014760
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