Image-to-Text
Transformers
PyTorch
Safetensors
English
git
image-text-to-text
vision
image-captioning
Instructions to use microsoft/git-large-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-large-coco 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-coco")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/git-large-coco") model = AutoModelForImageTextToText.from_pretrained("microsoft/git-large-coco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ec3e20df4c916b2c005f17bf80c81e49e7ebe2985d8fba10db4c5527cec8507
- Size of remote file:
- 1.58 GB
- SHA256:
- cdfc6b68ba3499a63652eb2dc0f1b46aa2f4e4a01d0e18c2866057cb764c4792
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