Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Sleepyp00/whisper-small-sv-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sleepyp00/whisper-small-sv-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sleepyp00/whisper-small-sv-test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sleepyp00/whisper-small-sv-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sleepyp00/whisper-small-sv-test") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
This model has 1 file scanned as unsafe.
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3500
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- checkpoint-5500
- checkpoint-6000
- runs
- 1.52 kB
- 2.6 kB
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- 3.92 kB
- 494 kB
- 967 MB xet
- 52.7 kB
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- 2.19 kB
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- 4.92 kB xet
- 1.04 MB