Instructions to use arithmetic-circuit-overloading/tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arithmetic-circuit-overloading/tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arithmetic-circuit-overloading/tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +3 -1
tokenizer.json
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"invert": false
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},
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"post_processor": null,
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"decoder":
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"model": {
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"type": "WordLevel",
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"vocab": {
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"invert": false
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},
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"post_processor": null,
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"decoder": {
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"type": "Fuse"
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},
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"model": {
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"type": "WordLevel",
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"vocab": {
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