Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_medium_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_medium_beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_medium_beta")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_medium_beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_medium_beta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Saving weights and logs of step 24999 - epoch 3
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Saving weights and logs of step 20000 - epoch 3
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Saving weights and logs of step 15000 - epoch 2
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Saving weights and logs of step 10000 - epoch 1
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Saving weights and logs of step 5000 - epoch 0
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Saving weights and logs of step 0 - epoch 0
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