Instructions to use MrFitzmaurice/finetune-whisper-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrFitzmaurice/finetune-whisper-test-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MrFitzmaurice/finetune-whisper-test-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MrFitzmaurice/finetune-whisper-test-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("MrFitzmaurice/finetune-whisper-test-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d62aac273d9263b61a6b93743c5baf717fa0aed4bf36f7f9874b622492fd68e3
- Size of remote file:
- 4.66 kB
- SHA256:
- 4ef8cf406efd97c1d66898ed373417f8c38149b46692ff6e9f423669544b0bfc
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