Instructions to use manifoldix/att1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manifoldix/att1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manifoldix/att1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("manifoldix/att1") model = AutoModelForSpeechSeq2Seq.from_pretrained("manifoldix/att1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e092bf57a63a8784e438369786ed043d7482f6b54efce27d30e37e96bade05cd
- Size of remote file:
- 3.58 kB
- SHA256:
- ae0b5c0efbcb40bf6e0ad5130ea1a13683e64ad1a03d2d9d4d149051cf79cb73
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