Image-to-Text
Transformers
PyTorch
Safetensors
English
git
image-text-to-text
vision
image-captioning
Instructions to use microsoft/git-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-base 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-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/git-base") model = AutoModelForImageTextToText.from_pretrained("microsoft/git-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad310005ca95b5d9bd43adb2e91b2a35bf9646c2dec250f999eb7e59d666aee5
- Size of remote file:
- 707 MB
- SHA256:
- 48c6af04ebdcc18bb43c1dfa8eefc606f04fddf8f6e8d649e4b3ad6881ee7d8c
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