Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_small_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_small_beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_small_beta")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_small_beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_small_beta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79c7453a7b7c1bbf9b1e701e0bd91c2fb5482e64afe75fba7d71ed4fc9bd14f1
- Size of remote file:
- 20.3 kB
- SHA256:
- 7ee2e56835e52a00095441b36b61dc3c93b702bf6b17d72adc4352f04b94f200
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