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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df0283b7231ac76faca556839c78c7cc65262cd79252b2a6ec68b8f8538da2ea
- Size of remote file:
- 332 MB
- SHA256:
- 2935bcbfe2eb807e3c8cc1817054d814ca342e7872d4a8e5ad700fcdcdf353de
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