Image-to-Text
Transformers
PyTorch
Safetensors
English
git
image-text-to-text
vision
image-captioning
Instructions to use microsoft/git-large-r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-large-r 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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("microsoft/git-large-r") model = AutoModelForMultimodalLM.from_pretrained("microsoft/git-large-r", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/git-large-r: direct link, hf CLI and curl.
- Browser
- Download file 1.58 GB
-
https://huggingface.co/microsoft/git-large-r/resolve/c98dbd050ff64ad64695c53c746b620211bef837/pytorch_model.bin
- Command line
-
hf download hf://microsoft/git-large-r@c98dbd050ff64ad64695c53c746b620211bef837/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/git-large-r/resolve/c98dbd050ff64ad64695c53c746b620211bef837/pytorch_model.bin
1.58 GB
- Xet hash:
- f4a95acba2c021302a733ef6cb8bc33720dae3cb6050bb85b77021be72248361
- Size of remote file:
- 1.58 GB
- SHA256:
- 423969104549df9d37aa806ef122920e608bc702e3bdac92e0737f16a98effbd
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