Video-Text-to-Text
Transformers
Chinese
sign-language-translation
skeleton-based
hyperbolic-geometry
mT5
Instructions to use fiskenai/Geo-Sign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fiskenai/Geo-Sign with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fiskenai/Geo-Sign", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag: video-text-to-text
Verified signatureThis PR enhances the model card by adding the `pipeline_tag: video-text-to-text` to the metadata. This tag accurately categorizes the model's functionality of translating sign language (from visual input, specifically pose data) into text, improving its discoverability on the Hugging Face Hub. The existing `library_name: transformers` and `license: mit` fields are retained as they are validated by the GitHub repository's content. No sample usage section is added, adhering to the guidelines that require explicit code snippets from the original repository's README for inference.4659bf4
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