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:
- 428a67fd1a29c80f119616be25b676797887280f6c7485d61230c21b49d877ba
- Size of remote file:
- 967 MB
- SHA256:
- 72f8963a232fe8336676fdddcacbc19e5c0b321cca15c3697ebff5d0a25e732c
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