Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Neprox/STT-Swedish-Whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neprox/STT-Swedish-Whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Neprox/STT-Swedish-Whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Neprox/STT-Swedish-Whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("Neprox/STT-Swedish-Whisper") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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metrics:
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model-index:
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- name: Whisper Small - Swedish
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results: []
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base_model: openai/whisper-small
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model-index:
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- name: Whisper Small - Swedish
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results: []
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