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
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (c98dbd050ff64ad64695c53c746b620211bef837) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3419035
-
Update README.md
f531253
-
Adding generation config file(s)
074f13e
-
Update README.md
3d083e4 -
Create README.md
c16b2a2 -
Upload processor
0b11b43 -
Upload GitForCausalLM
b335133 -
initial commit
bac3f71