Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Shamik/distil-whisper-small-polyAI-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shamik/distil-whisper-small-polyAI-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shamik/distil-whisper-small-polyAI-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shamik/distil-whisper-small-polyAI-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shamik/distil-whisper-small-polyAI-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd244fe51bcd55de552ce6700a3e73dc026e2719ccef66271edb6ec0d64b09fd
- Size of remote file:
- 4.48 kB
- SHA256:
- 12309bbdeee1aa189a94ffefb505842cf39e4496e8f44e49fa7f580037fdf846
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