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:
- b73da490871e6352fc42d820264b456ab3325113ef4588992bd513393b0abb06
- Size of remote file:
- 151 MB
- SHA256:
- 6e1e592e6f49d6b54d1e0af4064cf15d02c6109f9a1c99d09f7e5016715ecedd
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