Instructions to use au2a/medium_20230814 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use au2a/medium_20230814 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="au2a/medium_20230814")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("au2a/medium_20230814") model = AutoModelForSpeechSeq2Seq.from_pretrained("au2a/medium_20230814") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de46a6c6fe803a7919c8f1f8758816ee1d68d1c1109793033a8ea2bbebbe67b9
- Size of remote file:
- 3.06 GB
- SHA256:
- 349be1db3e48e53fc88a86a8b0d74aaba728f043cd03ce12af4b365db0520aaa
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