Instructions to use microsoft/git-large-r-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-large-r-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-r-coco")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/git-large-r-coco") model = AutoModelForImageTextToText.from_pretrained("microsoft/git-large-r-coco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11c0f05346346c4cb609817ae53cc2dc0b995ef414cce39a870bef8d8de98e03
- Size of remote file:
- 1.58 GB
- SHA256:
- 952d1c5bf8042ed00fdfe55a132c7381f2e972a8e7d5738ed91add3a729666e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.