Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Northern Sami
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use NbAiLab/whisper-large-sme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/whisper-large-sme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-large-sme")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/whisper-large-sme") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-large-sme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (1b43992747c1d19563917d16d481c267dc8e27d7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2432ccf
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Create generation_config.json
Verified signature1ad3206
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Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (cc86320524a122074eedfc6fb1c10fc9e0a0f5e9) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>4a7ee89
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