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 float.pth from mohamedemam/float: direct link, hf CLI and curl.
- Browser
- Download file 827 MB
-
https://huggingface.co/mohamedemam/float/resolve/main/float.pth
- Command line
-
hf download hf://mohamedemam/float/float.pth
-
curl -L -o float.pth https://huggingface.co/mohamedemam/float/resolve/main/float.pth
827 MB
- Xet hash:
- 0e7a0174504d5c7ad5baa0e07aaab91f81c2d0d01f2b9830b8d3c4a9194359a6
- Size of remote file:
- 827 MB
- SHA256:
- f5cd815510908284eca7c5b9e81bdd63fc4cbef761f83bfb8fbe5e2880b2b830
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.