Instructions to use SlothBot/home_workstation_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SlothBot/home_workstation_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SlothBot/home_workstation_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SlothBot/home_workstation_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("SlothBot/home_workstation_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97266c0e4b43b7a10a3484f4ff6985b4f9ccd982b2ed10dd371b4b58516bd789
- Size of remote file:
- 967 MB
- SHA256:
- a8bf23a292fc32d9bce6a2cd6c980adc1a9c3e843ec5cbd760bfc569412799b0
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