Instructions to use artificialguybr/whisper-small-pt-cv13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificialguybr/whisper-small-pt-cv13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="artificialguybr/whisper-small-pt-cv13")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("artificialguybr/whisper-small-pt-cv13") model = AutoModelForSpeechSeq2Seq.from_pretrained("artificialguybr/whisper-small-pt-cv13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77ac14023fd4dc0a657b6cb26dce3919c3b71ae41ea76ca301cbd052560acbd1
- Size of remote file:
- 4.09 kB
- SHA256:
- 704c59fdc61dd5cb17a4207b6bb764ea3395a1a8ef7a13ed1bba81de6e0bf88d
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