Instructions to use microsoft/git-large-r-textcaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-large-r-textcaps 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/git-large-r-textcaps")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("microsoft/git-large-r-textcaps") model = AutoModelForMultimodalLM.from_pretrained("microsoft/git-large-r-textcaps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c664705b3b7df61838186a04504fdabd2af2ad11d0e054d6686087b0c97f3d58
- Size of remote file:
- 1.58 GB
- SHA256:
- a3d3da0464208333f44cc75a7111fe91d13fe03512619207c019971c8b7feea1
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