Duplicate from maritaca-ai/sabia-2-tokenizer-medium

Co-authored-by: Rodrigo Nogueira <rodrigo-nogueira@users.noreply.huggingface.co>

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README.md

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+This is the tokenizer used by the Sabiá-2 Medium model.
+
+Sabiá2 Medium 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".
+
+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.
+
+```python
+import transformers
+tokenizer = transformers.AutoTokenizer.from_pretrained("maritaca-ai/sabia-2-tokenizer-medium")
+
+prompt = "Com quantos paus se faz uma canoa?"
+
+tokens = tokenizer.encode(prompt)
+
+print(f'O prompt "{prompt}" contém {len(tokens)} tokens.')  # It should print 12 tokens.
+```
+
+For more information on how to use the model, please refer to our documentation at [this link](https://maritaca-ai.github.io/maritalk-api/maritalk.html).

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "model_max_length": 8192,
+  "unk_token": "<unk>",
+  "bos_token": "<|startoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "clean_up_tokenization_spaces": false,
+  "legacy": true,
+  "tokenizer_class": "LlamaTokenizer"
+}