Instructions to use anton1561/whisper-small-ph-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton1561/whisper-small-ph-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anton1561/whisper-small-ph-new")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("anton1561/whisper-small-ph-new") model = AutoModelForSpeechSeq2Seq.from_pretrained("anton1561/whisper-small-ph-new") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95c3673a0b8b88073bb20ab00b3c77c562da299f7ebdea603c0501730567f7c4
- Size of remote file:
- 967 MB
- SHA256:
- 27741a2b86f789887d7eef785f685da072ab4633ec2d8c63f1e6a58c718418f4
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