Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use wu-kiot/whisper-small-fc-am with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wu-kiot/whisper-small-fc-am with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wu-kiot/whisper-small-fc-am")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("wu-kiot/whisper-small-fc-am") model = AutoModelForSpeechSeq2Seq.from_pretrained("wu-kiot/whisper-small-fc-am", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e38ed61b079e53eafa70789cded29947ccbb1a9de5ec1d69029b14b7b59f8a0
- Size of remote file:
- 5.5 kB
- SHA256:
- fbef06f9b4879058614b2103e81125c09036d898a489064f3ce69a4fd251c8b4
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