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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a2133354e7a68e06ac5adf2d41d6f03ac82c4d4c9127128e3edb098c5538478
- Size of remote file:
- 6.17 GB
- SHA256:
- c125d4ae58a5b08f5eb9bd262c8fe63d40ed2c8583d6b709a3c8ed9c8a9f9880
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