Instructions to use 202015004/Spoof_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 202015004/Spoof_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="202015004/Spoof_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("202015004/Spoof_detection") model = AutoModelForCTC.from_pretrained("202015004/Spoof_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from 202015004/Spoof_detection: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/202015004/Spoof_detection/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://202015004/Spoof_detection/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/202015004/Spoof_detection/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- d5ab0062057dbbc3160c5f804a992b4cb5be6e64286a0fc8f059ec8f6668a3d6
- Size of remote file:
- 378 MB
- SHA256:
- 467aca671c0825e81ecc8fc31240c77e8d70f701eb146ad072c2b041e39ce766
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