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README.md
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---
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license: apache-2.0
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---
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Upstage `solar-pro-preview` tokenizer
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- Vocab size: 32,128
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- Langauge support: mainly English
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Please use this tokenizer for tokenizing inputs for the Upstage [solar-pro-preview](https://developers.upstage.ai/docs/apis/chat) model.
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You can load it with the tokenizer library like this:
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```python
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from tokenizers import Tokenizer
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tokenizer = Tokenizer.from_pretrained("upstage/solar-pro-preview-tokenizer")
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text = "Hi, how are you?"
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enc = tokenizer.encode(text)
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print("Encoded input:")
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print(enc)
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inv_vocab = {v: k for k, v in tokenizer.get_vocab().items()}
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tokens = [inv_vocab[token_id] for token_id in enc.ids]
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print("Tokens:")
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print(tokens)
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number_of_tokens = len(enc.ids)
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print("Number of tokens:", number_of_tokens)
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```
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tokenizer.json
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