Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_non_large_1e06_verbosity6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_non_large_1e06_verbosity6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_non_large_1e06_verbosity6")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_non_large_1e06_verbosity6") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_non_large_1e06_verbosity6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19f779d957e93b85c12bfb69d46b57349b22c3b36aacf4f70271279719d28d72
- Size of remote file:
- 6.17 GB
- SHA256:
- 9ee5da0fd968bb2073e101592f3f4bc58be537f72bbe8579bc00808c87e1bfc1
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