Instructions to use SlothBot/Full_workstation_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SlothBot/Full_workstation_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SlothBot/Full_workstation_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SlothBot/Full_workstation_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("SlothBot/Full_workstation_ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 612770c59cb45da32bf0edd603ff3d958c344347c4051eea2a455e524d06a627
- Size of remote file:
- 967 MB
- SHA256:
- f575bbced1f22db01319beefd9a14a0da61a22193d37324e62bd1c53b6ef3d2d
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