Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkmen
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ray0303/whisper-small-tk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ray0303/whisper-small-tk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ray0303/whisper-small-tk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ray0303/whisper-small-tk") model = AutoModelForSpeechSeq2Seq.from_pretrained("ray0303/whisper-small-tk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 898566657d7a8d8a6907390c78af3a3fccb34483c80652e4b9d021f20bd69a50
- Size of remote file:
- 5.43 kB
- SHA256:
- f51bdd62efce6179858725d2f43a2438d33d09d7e3c3f6f73b27807192a6a7a3
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