Instructions to use LnL-AI/dbrx-instruct-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LnL-AI/dbrx-instruct-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LnL-AI/dbrx-instruct-tokenizer", dtype="auto") - Transformers.js
How to use LnL-AI/dbrx-instruct-tokenizer with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
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- tokenizers
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# DBRX Instruct Tokenizer
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- tokenizers
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## Why should you use this and not the titotken included in the orignal model?
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Original tokenizer pad vocabulary to correct size with `<extra_N>` tokens but encoder never uses them causing inconsistency and deterimental to training code that may want to use the unused `<extra_N>` tokens.
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modified from original code @ https://huggingface.co/Xenova/dbrx-instruct-tokenizer
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# DBRX Instruct Tokenizer
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