Instructions to use voidful/bart_base_unit_phoneme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/bart_base_unit_phoneme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/bart_base_unit_phoneme")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidful/bart_base_unit_phoneme") model = AutoModel.from_pretrained("voidful/bart_base_unit_phoneme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20876e9759180586bd32804939054381d3486c52fb998938aa0fff6fd4cb6a64
- Size of remote file:
- 416 MB
- SHA256:
- b25eb39f5cf2581b66d4e9800b24eb07dc85563b5024e655321cdc974a320599
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