Instructions to use optimum/hubert-large-ls960-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/hubert-large-ls960-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="optimum/hubert-large-ls960-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("optimum/hubert-large-ls960-ft") model = AutoModelForCTC.from_pretrained("optimum/hubert-large-ls960-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload vocab.json with huggingface_hub
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Upload config.json with huggingface_hub
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Upload model.onnx with huggingface_hub
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Upload tokenizer_config.json with huggingface_hub
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Upload preprocessor_config.json with huggingface_hub
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initial commit
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