Instructions to use microsoft/kosmos-2-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/kosmos-2-patch14-224 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="microsoft/kosmos-2-patch14-224")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/kosmos-2-patch14-224") model = AutoModelForImageTextToText.from_pretrained("microsoft/kosmos-2-patch14-224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9286718ec8a9b22d02f81b2a6333ad6ff6b5b15eb1d6bcbbc95cff0ecd6cc4a
- Size of remote file:
- 6.66 GB
- SHA256:
- 47e771fe58dd4de2d814655e67ec034b3637b09114869415f071486c4a1c2ec0
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