Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use alessio21/minds14-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alessio21/minds14-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alessio21/minds14-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("alessio21/minds14-finetuned") model = AutoModelForMultimodalLM.from_pretrained("alessio21/minds14-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 287ceaf8999a489fb7260af913a6b84527994a94de27828101c45b13ee145bd2
- Size of remote file:
- 4.16 kB
- SHA256:
- ec98c72c6060083506bc6432af736575543749ef1907ecf3c96fb83afef23314
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