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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b7b3794a997565faeb5813e81d68487486fb8b0aafa6b5979751e1c21bb8b0f
- Size of remote file:
- 6.17 GB
- SHA256:
- 4b3a72f04df57f067799ea6da44961341e78132e6edb0dcce4fcc717b5fa1b79
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