Image-to-Video
TensorRT
ONNX
Safetensors
PyTorch
English
Arabic
audio-to-video
talking-head
portrait-animation
lip-sync
flow-matching
motion-generation
video-generation
wav2vec2
real-time
Instructions to use mohamedemam/float with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use mohamedemam/float with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_v1.onnx from mohamedemam/float: direct link, hf CLI and curl.
- Browser
- Download file 93.8 MB
-
https://huggingface.co/mohamedemam/float/resolve/main/onnx/decoder_v1.onnx
- Command line
-
hf download hf://mohamedemam/float/onnx/decoder_v1.onnx
-
curl -L -o decoder_v1.onnx https://huggingface.co/mohamedemam/float/resolve/main/onnx/decoder_v1.onnx
93.8 MB
- Xet hash:
- 03ec6dcef587e902051d1db48240ea42598951886972575e81cef7d979246e5c
- Size of remote file:
- 93.8 MB
- SHA256:
- c43ee5f8460e42af83e44c2328701aaac8884a0c1d18bc118a9a8b90501b8091
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