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:
- 2c0b9ccc02ee43db91ef3f16ca637e3c437c231355966c754a67a89e6df7c125
- Size of remote file:
- 3.64 kB
- SHA256:
- b66e4f1fe60a8697f387fe6ebec73bc28d8d2b824e4921889bfcaa1442522688
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