Instructions to use dhansmair/flamingo-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhansmair/flamingo-tiny 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="dhansmair/flamingo-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dhansmair/flamingo-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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datasets:
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Flamingo Model (tiny version) pretrained on Image Captioning on the Conceptual Captions (3M) dataset.
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license: apache-2.0
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datasets:
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- conceptual_captions
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Flamingo Model (tiny version) pretrained on Image Captioning on the Conceptual Captions (3M) dataset.
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