Instructions to use nliampi/custom-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nliampi/custom-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nliampi/custom-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c434c298e99640ddd9181edc0c0bbb2192bf7689ef22986956077821890f0a12
- Size of remote file:
- 696 Bytes
- SHA256:
- e8f601e6077ca0f5ba3717c98eef8359b8cb4860768b3dab1dcfd318fc483c2c
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