Instructions to use nrshoudi/speech_ocean_hubert_mdd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrshoudi/speech_ocean_hubert_mdd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nrshoudi/speech_ocean_hubert_mdd")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nrshoudi/speech_ocean_hubert_mdd") model = AutoModelForCTC.from_pretrained("nrshoudi/speech_ocean_hubert_mdd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- README.md +1 -1
- added_tokens.json +2 -2
- tokenizer_config.json +4 -4
- vocab.json +123 -116
README.md
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---
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license: apache-2.0
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base_model: facebook/hubert-large-ll60k
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: facebook/hubert-large-ll60k
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metrics:
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- wer
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model-index:
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added_tokens.json
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tokenizer_config.json
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"added_tokens_decoder": {
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"content": "[UNK]",
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"single_word": false,
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"content": "[PAD]",
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vocab.json
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}
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