Video-Text-to-Text
Transformers
PyTorch
English
vision-encoder-decoder
image-text-to-text
video-captioning
Eval Results (legacy)
Instructions to use Neleac/SpaceTimeGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neleac/SpaceTimeGPT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("Neleac/SpaceTimeGPT") model = AutoModelForImageTextToText.from_pretrained("Neleac/SpaceTimeGPT") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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pipeline_tag: video-text-to-text
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inference:
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tags:
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- video-captioning
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model-index:
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- meteor
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- rouge
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pipeline_tag: video-text-to-text
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inference: true
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tags:
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- video-captioning
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model-index:
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