Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Serbian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use DrishtiSharma/whisper-large-v2-serbian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrishtiSharma/whisper-large-v2-serbian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DrishtiSharma/whisper-large-v2-serbian")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("DrishtiSharma/whisper-large-v2-serbian") model = AutoModelForMultimodalLM.from_pretrained("DrishtiSharma/whisper-large-v2-serbian") - Notebooks
- Google Colab
- Kaggle
whisper-large-v2-serbian / runs /Dec20_15-30-31_8a04d688b13d /events.out.tfevents.1671550256.8a04d688b13d.2560.0
- Xet hash:
- ee4184b00150b6119e4fb1456a49c42427f499738de48fcfcb047d3af4019cd8
- Size of remote file:
- 11.3 kB
- SHA256:
- 8e3f8b3a89d41c87a949a479c5a7a3e7af38c9404937706a3ae61f359414697a
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