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:
- b9f3cce8bf631b8783c3a680d4455c64cbd6025fa01ce1d0ae52d015348f0ac1
- Size of remote file:
- 665 MB
- SHA256:
- 0c4489cfd5f9daae6606c8b0d72a2983d1085a36f8d4e14c32a0cb45dcc656d6
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