Instructions to use Gizachew/hubert-amharic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gizachew/hubert-amharic with Transformers:
# Load model directly from transformers import AutoProcessor, HubertForSpeechClassification processor = AutoProcessor.from_pretrained("Gizachew/hubert-amharic") model = HubertForSpeechClassification.from_pretrained("Gizachew/hubert-amharic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61990c6daa7a51fde883177120d1b3ff7f81b6cc20a2dfec7e6bea448436e96a
- Size of remote file:
- 380 MB
- SHA256:
- 381254286ce677d2b715c7034be066d2181560797e1719f693b840f06ab9c4c5
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