Instructions to use Kuray107/librispeech-5h-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kuray107/librispeech-5h-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kuray107/librispeech-5h-supervised")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Kuray107/librispeech-5h-supervised") model = AutoModelForCTC.from_pretrained("Kuray107/librispeech-5h-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kuray107/librispeech-5h-supervised: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/Kuray107/librispeech-5h-supervised/resolve/main/training_args.bin
- Command line
-
hf download hf://Kuray107/librispeech-5h-supervised/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kuray107/librispeech-5h-supervised/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- e5367c974d17b0972611c41f2b8070d1fc92ffe144cb346d9b6b62497d03eda9
- Size of remote file:
- 2.93 kB
- SHA256:
- 52cc87f1e91c09eca6f1ba2c2d0960d35c51b0d5b9d7f8c2cd3b03f4ae4afa99
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