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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- mozilla-foundation/common_voice_11_0
language:
- mk
pipeline_tag: automatic-speech-recognition
tags:
- ASR
- Whisper
OpenAI Whisper на Македонски јазик
Loss: 0.54 WER: 54
Fine tuning dataset
Common Voice Corpus 11.0
Initial observations
Although using an old dataset from 2022, the results show great performance compared to Wav2Vec 2.0