Instructions to use danielgi97/whisper-medium-R-Equipo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielgi97/whisper-medium-R-Equipo2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danielgi97/whisper-medium-R-Equipo2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("danielgi97/whisper-medium-R-Equipo2") model = AutoModelForSpeechSeq2Seq.from_pretrained("danielgi97/whisper-medium-R-Equipo2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37b6a9d39fe1297ec58b1ce496b9e894a3cd288e7c6eddc44b1211e53454f19b
- Size of remote file:
- 5.18 kB
- SHA256:
- e81247431f46fee35c28f15fb26c604fc91f18f4d2c0997848771f9cf02c9f34
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