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 wav2vec2-base-960h/preprocessor_config.json from mohamedemam/float: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
-
https://huggingface.co/mohamedemam/float/resolve/main/wav2vec2-base-960h/preprocessor_config.json
- Command line
-
hf download hf://mohamedemam/float/wav2vec2-base-960h/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/mohamedemam/float/resolve/main/wav2vec2-base-960h/preprocessor_config.json
159 Bytes
| { | |
| "do_normalize": true, | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |