Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use marinone94/whisper-training-blog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marinone94/whisper-training-blog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marinone94/whisper-training-blog")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("marinone94/whisper-training-blog") model = AutoModelForSpeechSeq2Seq.from_pretrained("marinone94/whisper-training-blog") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebed5718859b4cea4be4d973dc4df4566e59789d0a0d6a11fd399da0dfd6e5cd
- Size of remote file:
- 151 MB
- SHA256:
- e347b86221199e0a86cf1f1e77515b57a801546e73d0951d67d6f1773a1ddfee
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