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README.md

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 ---
 license: apache-2.0
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+
+Upstage `solar-docvision-preview` tokenizer
+- Vocab size: 32,064
+- Langauge support: only English
+
+Please use this tokenizer for tokenizing inputs for the Upstage `solar-docvision-preview` model.
+
+You can load it with the tokenizer library like this:
+
+```python
+from tokenizers import Tokenizer
+
+tokenizer = Tokenizer.from_pretrained("upstage/solar-docvision-preview-tokenizer")
+
+text = "Hi, how are you?"
+enc = tokenizer.encode(text)
+print("Encoded input:")
+print(enc)
+
+inv_vocab = {v: k for k, v in tokenizer.get_vocab().items()}
+tokens = [inv_vocab[token_id] for token_id in enc.ids]
+print("Tokens:")
+print(tokens)
+
+number_of_tokens = len(enc.ids)
+print("Number of tokens:", number_of_tokens)
+```