Instructions to use Mitradn/all-3data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/all-3data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/all-3data")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mitradn/all-3data") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mitradn/all-3data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 819126102a04b4d6e177ff2f4c2767bb58690a3039ffd93cc04f356c71400a84
- Size of remote file:
- 1.06 kB
- SHA256:
- b0285427c8edccbfc7a7c815fe490aa29ea848a147206bf05abe5b975cf1977f
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