Instructions to use microsoft/git-base-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-base-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-base-coco")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("microsoft/git-base-coco") model = AutoModelForMultimodalLM.from_pretrained("microsoft/git-base-coco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/git-base-coco: direct link, hf CLI and curl.
- Browser
- Download file 707 MB
-
https://huggingface.co/microsoft/git-base-coco/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://microsoft/git-base-coco@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/git-base-coco/resolve/refs%2Fpr%2F1/pytorch_model.bin
707 MB
- Xet hash:
- 3ad349edeff3771d69b917eef66357b56dddb709acd4ddefb3aedcada9543b85
- Size of remote file:
- 707 MB
- SHA256:
- 9debdaecd629157630a7a3e69dd1bdae0461290bec8e66c682296813d9391ff2
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