metadata
license: other
license_name: upstage-solar-license
Upstage solar-pro2 tokenizer
- Vocab size: 196,608
- Language support: English, Korean, Japanese and more
Please use this tokenizer for tokenizing inputs for the Upstage solar-pro2 model.
You can load it with the transformers library like this:
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("upstage/solar-pro2-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]
print("Tokens:")
print(tokens)
number_of_tokens = len(enc)
print("Number of tokens:", number_of_tokens)