Instructions to use BuzzASR/bulgarian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/bulgarian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/bulgarian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/bulgarian") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/bulgarian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52c63f4847ae9a55d36f54dc8bec2614f12ff28a9455d1befb2d3355564bcc98
- Size of remote file:
- 3.09 GB
- SHA256:
- c44e18ef8c28d40773af7305bcc58b28766d8726dc8b8a817b17b313185bcbff
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