Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use einargizz/whisper_samromur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use einargizz/whisper_samromur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="einargizz/whisper_samromur")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("einargizz/whisper_samromur") model = AutoModelForSpeechSeq2Seq.from_pretrained("einargizz/whisper_samromur") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 062bebf5861a36c4a49fa009a2fb08c5b240ded2f654f05088222ad23520b99d
- Size of remote file:
- 3.64 kB
- SHA256:
- 868657cf1df136527a9c5a3e65dfadcde047a670329d26c8328b6125a8642b42
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