Instructions to use microsoft/git-large-textcaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-large-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-textcaps")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/git-large-textcaps") model = AutoModelForImageTextToText.from_pretrained("microsoft/git-large-textcaps") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b101b046e9a8fab723df2bb7208ae8e90a4628490cf1ed7de82644cf1d975ead
- Size of remote file:
- 1.58 GB
- SHA256:
- 97564716bf9fc378412f8b5e73c9c4739b3bd985ebd78e20247d0da757713593
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