Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Atemble
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Eyesiga/whisper_base_ateso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eyesiga/whisper_base_ateso with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Eyesiga/whisper_base_ateso")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Eyesiga/whisper_base_ateso") model = AutoModelForSpeechSeq2Seq.from_pretrained("Eyesiga/whisper_base_ateso") - Notebooks
- Google Colab
- Kaggle
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