Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Twi
whisper
custom-dataset
local-dataset
Generated from Trainer
Instructions to use dkt-py-bot/whisper-small-DL-Twi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dkt-py-bot/whisper-small-DL-Twi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dkt-py-bot/whisper-small-DL-Twi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dkt-py-bot/whisper-small-DL-Twi") model = AutoModelForSpeechSeq2Seq.from_pretrained("dkt-py-bot/whisper-small-DL-Twi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f55d4908009c5bae62ccaa2cb4a33916f1327ad343f3877a6f36abd8dbbf9ae5
- Size of remote file:
- 5.5 kB
- SHA256:
- 132f324b5fbe6cf7df3b6ca5c33fed3a29dc22040784de2f6cf7e1b8f9110612
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