Instructions to use manifoldix/att4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manifoldix/att4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manifoldix/att4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("manifoldix/att4") model = AutoModelForSpeechSeq2Seq.from_pretrained("manifoldix/att4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6eb19fdf2988197f921cdeabbdfbbb4f43e3cfd2204e819adfa052e07cd47467
- Size of remote file:
- 6.17 GB
- SHA256:
- 830d0f9b31fb3109b3838a98050185a7c73c1ee72ff1d47131cc02f1e915ad75
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