Instructions to use BuzzASR/xhosa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/xhosa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/xhosa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/xhosa") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/xhosa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c8c4f47dbaf6abfe4608fc5fd62d8b83eef81825ffcca4ea959c90b1500447
- Size of remote file:
- 3.09 GB
- SHA256:
- c057b596d4b9cb3cb4e5f006f821085d44f633875a2fc7634d262564803affdc
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