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:
- 94b4b7d097b3ab336fca3310d7066791d18398a17f6c45badb6846fd65273e6d
- Size of remote file:
- 3.77 kB
- SHA256:
- 04d1f4b828a3d96804baf3e42350beab5a398c4a3f5f4ed61948f4825ee12482
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