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
- Xet hash:
- 071e9d406759869fe47bc9d1489f8fefeee473076fe64df773917ebbfee0c78f
- Size of remote file:
- 1.12 GB
- SHA256:
- f827a2e4ceb72e7d9ded3d9e1aaf41fb0c50de0c365bc851a3369c90a7e46d4f
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