Scrapegraph-ai/scrapegraphai/utils/tokenizers/tokenizer_ollama.py
2024-10-19 07:18:56 +02:00

29 lines
867 B
Python

"""
Tokenization utilities for Ollama models
"""
from langchain_core.language_models.chat_models import BaseChatModel
from ..logging import get_logger
def num_tokens_ollama(text: str, llm_model:BaseChatModel) -> int:
"""
Estimate the number of tokens in a given text using Ollama's tokenization method,
adjusted for different Ollama models.
Args:
text (str): The text to be tokenized and counted.
llm_model (BaseChatModel): The specific Ollama model to adjust tokenization.
Returns:
int: The number of tokens in the text.
"""
logger = get_logger()
logger.debug(f"Counting tokens for text of {len(text)} characters")
# Use langchain token count implementation
# NB: https://github.com/ollama/ollama/issues/1716#issuecomment-2074265507
tokens = llm_model.get_num_tokens(text)
return tokens