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 pytorch_model.bin from Elliotte/Hubert-base-superb: direct link, hf CLI and curl.
- Browser
- Download file 94.1 MB
-
https://huggingface.co/Elliotte/Hubert-base-superb/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Elliotte/Hubert-base-superb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Elliotte/Hubert-base-superb/resolve/main/pytorch_model.bin
94.1 MB
- Xet hash:
- c9cdb85c8c140ce3fba1e04e6190b91a2bc48fca216a4603df031e0d7f727ba6
- Size of remote file:
- 94.1 MB
- SHA256:
- 92c9681cca1faeb4f602acaf4e62604740d3d38abeaf8acec4c589a9d00763f6
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