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:
- 2bc6437e016c5d8c702857debb4c18659c3a6d41ac02d821141d53f2919f5d16
- Size of remote file:
- 4.66 kB
- SHA256:
- 2ce3d341a830f185bfcb05985cacc9e3922586d0191be6df526c7e6a4c50fec5
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