Instructions to use AETHORIA-AI/TR-HASH-Tokenizer-32K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AETHORIA-AI/TR-HASH-Tokenizer-32K with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AETHORIA-AI/TR-HASH-Tokenizer-32K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Restore canonical tokenizer to 32K vocabulary
Verified signatureRestore the exact 32,000-token tokenizer bundle from revision 3d43ff0569f01c490402ba3c3b028240675dfb3c. Remove the four 32,004 reasoning-boundary tokens and restore the original tokenizer metadata and card.6423b5b
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Promote canonical 32,004-token reasoning-boundary tokenizer
Verified signaturePreserve IDs 0-31999 exactly and append think/final boundary tokens at IDs 32000-32003. Keep BOS/EOS/PAD/UNK metadata and offline tokenizer sidecars.f9e5969
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Publish TR-HASH 32K tokenizer
Verified signaturef1610d9