Automatic Speech Recognition
Transformers
PyTorch
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Alexao/whisper-small-swe2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexao/whisper-small-swe2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alexao/whisper-small-swe2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Alexao/whisper-small-swe2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Alexao/whisper-small-swe2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3794ee370750a64efa22e1155804c8f8b72ea2c24bb92bcb54f1cf530a5c4eee
- Size of remote file:
- 3.64 kB
- SHA256:
- 14f89d885b9b971485971965360a0f68ccac9de9732f6ce4b59ca6f42e89f0c4
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