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README.md
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This is the tokenizer used by the
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The purpose of including this tokenizer is to allow you to estimate the number of tokens in your prompts and, therefore, the cost of using the model.
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```python
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import transformers
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tokenizer = transformers.AutoTokenizer.from_pretrained("maritaca-ai/
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prompt = "Com quantos paus se faz uma canoa?"
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This is the tokenizer used by the Sabia-2 Small model.
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Sabiá-2 Small is a proprietary LLM that can be used through an API endpoint, which we refer to as the "MariTalk API", or a downloadable version that can be used locally and is encrypted, known as "MariTalk Local".
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The purpose of including this tokenizer is to allow you to estimate the number of tokens in your prompts and, therefore, the cost of using the model.
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```python
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import transformers
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tokenizer = transformers.AutoTokenizer.from_pretrained("maritaca-ai/sabia-2-tokenizer-small")
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prompt = "Com quantos paus se faz uma canoa?"
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