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:
- f0a1ce7726446c29788b1e4564066fa1f7469aa3751d01c71ea80d54eb56acce
- Size of remote file:
- 3.58 kB
- SHA256:
- 814f93a3a919c053be438a0e16553980c21c1a247181f793557f9cfd03e45cd5
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