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:
- 6f4b874a897398f871727c696d77e6771598c6fd120e5bffc28d5971d19f89be
- Size of remote file:
- 3.71 kB
- SHA256:
- 5a4e90a9deaff332cbf2004f23fc565d16250a3a8f82103b6e8e4756e3b2b75b
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