Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Macedonian
whisper
ASR
Whisper
Instructions to use goran/whisper-small.mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goran/whisper-small.mk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="goran/whisper-small.mk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("goran/whisper-small.mk") model = AutoModelForSpeechSeq2Seq.from_pretrained("goran/whisper-small.mk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1024b2c3df57e2ef6e83a045e86b004c15a85e4bc5f237ef9defd5c768d4c33
- Size of remote file:
- 967 MB
- SHA256:
- a150f741402550469c1133548e947ca707bc25d59e721bb629e199509a321641
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