Instructions to use Mitradn/net-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/net-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/net-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mitradn/net-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mitradn/net-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df03689b4667c5b2024524319bfa15836a465aabe7188e2a5c348c31a99dfdac
- Size of remote file:
- 1.06 kB
- SHA256:
- a51aac1e144df8c957291831eae870d7cd12d62ab659c34993d97f8ea8b79e4a
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