upstage/solar-docvision-preview-tokenizer

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:

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)