Instructions to use Elliotte/Hubert-base-superb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elliotte/Hubert-base-superb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Elliotte/Hubert-base-superb")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Elliotte/Hubert-base-superb") model = AutoModelForCTC.from_pretrained("Elliotte/Hubert-base-superb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Elliotte/Hubert-base-superb: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/Elliotte/Hubert-base-superb/resolve/main/training_args.bin
- Command line
-
hf download hf://Elliotte/Hubert-base-superb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Elliotte/Hubert-base-superb/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- baa4ec091648f30d7aa5588a020b6caf7348180821fd92add9115f29701d1bdf
- Size of remote file:
- 3.25 kB
- SHA256:
- 5d86c21d54db2a8ede7fcebb4161b3cdc71b4ebc1c1883389fb69eb7681a57b2
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