Instructions to use LastTransformer/MathFormer-16K-BPE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LastTransformer/MathFormer-16K-BPE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LastTransformer/MathFormer-16K-BPE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Deploy native SentencePiece-backed 16K Unigram tokenizer with verified space preservation.
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Deploy native SentencePiece-backed 16K Unigram tokenizer with verified space preservation.
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Deploy native SentencePiece-backed 16K Unigram tokenizer with verified space preservation.
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Deploy native SentencePiece-backed 16K Unigram tokenizer with verified space preservation.
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Deploy native SentencePiece-backed 16K Unigram tokenizer.
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Deploy native SentencePiece-backed 16K Unigram tokenizer.
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Deploy native SentencePiece-backed 16K Unigram tokenizer.
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initial commit
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