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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload GitForCausalLM
Browse files- config.json +1 -0
config.json
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"model_type": "git",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"tie_word_embeddings": false,
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"model_type": "git",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"num_image_with_embedding": null,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"tie_word_embeddings": false,
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