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")# pip install -U transformers accelerate # 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
Download training_args.bin from nrshoudi/speech_ocean_hubert_mdd: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/nrshoudi/speech_ocean_hubert_mdd/resolve/main/training_args.bin
- Command line
-
hf download hf://nrshoudi/speech_ocean_hubert_mdd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nrshoudi/speech_ocean_hubert_mdd/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 27144a0126bfe4a2e18924e8d10775b0d032db773a303b00393dea02a0d46ef5
- Size of remote file:
- 5.05 kB
- SHA256:
- 37c0011893ead3cadc41c51cc8f98e9c431546eeb91e5f33043d9c2ef5593d91
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