Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Neprox/STT-swedish-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neprox/STT-swedish-base-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Neprox/STT-swedish-base-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Neprox/STT-swedish-base-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Neprox/STT-swedish-base-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
2cbc8b5 -
End of training
8d1141b -
Training in progress, step 6000
f55d6c4 -
Training in progress, step 5000
859ce2e -
update model card README.md
c0abd59 -
update model card README.md
c6eece5 -
update model card README.md
f240204 -
update model card README.md
858dd4f -
End of training
f234f8f -
Training in progress, step 4000
e0b327b -
Training in progress, step 2000
e142277
-
initial commit
bd8eb1b