Image-to-Text
Transformers
PyTorch
Safetensors
English
git
image-text-to-text
vision
image-captioning
Instructions to use microsoft/git-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-base 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")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("microsoft/git-base") model = AutoModelForMultimodalLM.from_pretrained("microsoft/git-base") - Notebooks
- Google Colab
- Kaggle
Upload GitForCausalLM
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.
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"typical_p": 1.0,
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"use_bfloat16": false
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},
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.26.0.dev0",
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"typical_p": 1.0,
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"use_bfloat16": false
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},
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b504cfb25b73203725e8e1b750288da5653d2fef5e585baf2e7b08f8f2d95ebf
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size 706587995
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