README.md

---

license: apache-2.0
---


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)

```