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
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot