Instructions to use pere/whisper-tiny-nccs-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/whisper-tiny-nccs-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pere/whisper-tiny-nccs-test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pere/whisper-tiny-nccs-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("pere/whisper-tiny-nccs-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d8986e2b10d4d1ee98fa6a29187919c7f5b833fd4d9f82dab3fe9a3c017951
- Size of remote file:
- 151 MB
- SHA256:
- 0b862b23733e640fbe1471b67e827e8e02ae3bd37fdceb87d6a08232fbd416c8
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