Instructions to use shadowlilac/visor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shadowlilac/visor 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="shadowlilac/visor")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("shadowlilac/visor") model = AutoModelForMultimodalLM.from_pretrained("shadowlilac/visor") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 08a9da9
Update LICENSE
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LICENSE
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@@ -4,7 +4,7 @@ Version 1.0, 15. November 2023
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Terms and Conditions for Use, Modification, and Redistribution
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Original BSD-3 License:
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This software includes portions covered by the original 3-Clause BSD License by Salesforce, which can be found on the original Salesforce/blip-image-captioning-large repository.
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Modifications:
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The following modifications have been made to the original software:
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Terms and Conditions for Use, Modification, and Redistribution
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Original BSD-3 License:
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This software includes portions covered by the original 3-Clause BSD License by Salesforce, which can be found on the original Salesforce/blip-image-captioning-large repository and under the local LICENSE_BLIP file.
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Modifications:
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The following modifications have been made to the original software:
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