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
- Xet hash:
- e9d27b0e0b356ad6cc397483d729e123a9bd326b6a8400fb2864537d1fd7d55a
- Size of remote file:
- 6.17 GB
- SHA256:
- 2d816d71c943a79ffd092ba9e13e3545e3c9d4fc9ae7b6f8b4c5b27ba12ad5be
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