Automatic Speech Recognition
Transformers
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_tertius_dropout_replicate_test7a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_tertius_dropout_replicate_test7a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_tertius_dropout_replicate_test7a")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_tertius_dropout_replicate_test7a") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_tertius_dropout_replicate_test7a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b73acb63156686d0da58d68b5e361c8af927d763c17f305fa0ab5194907575f4
- Size of remote file:
- 3.1 kB
- SHA256:
- fde50393dc1a2938e687d9d7a3fd029ddb12faa50f527dc4066b89c7c7fe1c83
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