Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
ONNX
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nullonesix/distil-small.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullonesix/distil-small.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nullonesix/distil-small.en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nullonesix/distil-small.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("nullonesix/distil-small.en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5de0229be6f37f42f3a6ef30310fa0ade266f1dff93a0921dc633b5a78b8075a
- Size of remote file:
- 665 MB
- SHA256:
- 15ef9cdbfb4ab85c93c7620a71b869127cfc6feacbd13551c3afe7df3e3e7eea
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