Instructions to use charsiu/g2p_multilingual_byT5_tiny_16_layers_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charsiu/g2p_multilingual_byT5_tiny_16_layers_100 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("charsiu/g2p_multilingual_byT5_tiny_16_layers_100") model = AutoModelForMultimodalLM.from_pretrained("charsiu/g2p_multilingual_byT5_tiny_16_layers_100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 053e7de058eb803882da8760eb2c5c24a32e8e7abca307cfd3123df1b1c37b3b
- Size of remote file:
- 82.7 MB
- SHA256:
- 1fdf8971dd0386d1d4a0da95d538a7cce1477cf2754587f818e5ba039a7cf130
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