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Project description
AI21 Labs Tokenizer
A SentencePiece based tokenizer for production uses
Installation
pip
pip install ai21-tokenizer
poetry
poetry add ai21-tokenizer
Usage
Tokenizer Creation
from ai21_tokenizer import Tokenizer
tokenizer = Tokenizer.get_tokenizer()
# Your code here
Another way would be to use our Jurassic model directly:
from ai21_tokenizer import JurassicTokenizer
model_path = "<Path to your vocabs file. This is usually a binary file that end with .model>"
config = {} # "dictionary object of your config.json file"
tokenizer = JurassicTokenizer(model_path=model_path, config=config)
Functions
Encode and Decode
These functions allow you to encode your text to a list of token ids and back to plaintext
text_to_encode = "apple orange banana"
encoded_text = tokenizer.encode(text_to_encode)
print(f"Encoded text: {encoded_text}")
decoded_text = tokenizer.decode(encoded_text)
print(f"Decoded text: {decoded_text}")
What if you had wanted to convert your tokens to ids or vice versa?
tokens = tokenizer.convert_ids_to_tokens(encoded_text)
print(f"IDs corresponds to Tokens: {tokens}")
ids = tokenizer.convert_tokens_to_ids(tokens)
For more examples, please see our examples folder.
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