Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Sandiago21/whisper-tiny-PolyAI-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/whisper-tiny-PolyAI-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sandiago21/whisper-tiny-PolyAI-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sandiago21/whisper-tiny-PolyAI-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sandiago21/whisper-tiny-PolyAI-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9f90e4529f6813abff2105bef4b40080a30173422722df943009b119318b5bf
- Size of remote file:
- 4.09 kB
- SHA256:
- 85e56f9f597fc8e822f8a6ed441c85dcae1851bb02542f64c16722024d53644c
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