Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_medium_1e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_medium_1e5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_medium_1e5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_medium_1e5") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_medium_1e5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 607ef15169b6bbe2f3ded7b58658803fbd0854cf6ee5343d7e980e913c6700f7
- Size of remote file:
- 4.64 kB
- SHA256:
- 13854a765a547db74e9c6e492a6fd59079cb94998733daf16021c6dfe4a6d8bb
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