Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Yoruba
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Danieljava/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Danieljava/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Danieljava/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Danieljava/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("Danieljava/whisper-small-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bae4c1cf79d242f4906bd41521ccc0ad93a3a612786afff1f8c4114228f0f7b
- Size of remote file:
- 5.33 kB
- SHA256:
- 582b71c2cd93007645e75d06bdec35011818f774d7e026470efac7a40979953d
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