Automatic Speech Recognition
Transformers
PyTorch
Central Kurdish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use CsanadT/whisper_small_sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CsanadT/whisper_small_sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CsanadT/whisper_small_sv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CsanadT/whisper_small_sv") model = AutoModelForSpeechSeq2Seq.from_pretrained("CsanadT/whisper_small_sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9619eb28bebe245c26ccf82cee38d13d289dac0be8ad0941fd2f8bf3056da7f
- Size of remote file:
- 3.58 kB
- SHA256:
- 8e62a71726c3d5458d4736ae18a1ddbdb59e8957eb7946ad9fa971291203d213
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