Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nagorebravo/whisper-tiny-en-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagorebravo/whisper-tiny-en-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nagorebravo/whisper-tiny-en-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nagorebravo/whisper-tiny-en-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("nagorebravo/whisper-tiny-en-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87ba1e686924b7ffa17c71ca7abd95127312ffb80e616e5a0ab5af2e2f550314
- Size of remote file:
- 5.39 kB
- SHA256:
- 9c6925a0fd6e5a57b5278418330b095de67d663cb8e1d461f5915ff66151b2ed
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