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:
- 10ed4c0ff19b8f9ef2e808f46f242982d84eb5408663ccc5a1ce90c6aff76e51
- Size of remote file:
- 4.73 kB
- SHA256:
- 275b31b411ed633cd90cbd862b4a9f8ec7825cc1803be0f156f8e51f65d61448
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