Instructions to use Malecc/Borscht-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Malecc/Borscht-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Malecc/Borscht-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 495fcba8f6637126d441e200d163c425c4de5d22fceb44d0f1121e5911801bcd
- Size of remote file:
- 11.7 MB
- SHA256:
- 8ad784fd06db2c4ff5c9209b5ad4f97d51262aa82976b800ab6f2fa46436d393
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