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fix: removed tokenizer

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Marco Vinciguerra 2024-10-19 07:18:56 +02:00
parent 58b11334d3
commit a18471688f
2 changed files with 1 additions and 14 deletions
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8
scrapegraphai/utils/tokenizer.py
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@ -6,7 +6,6 @@ from langchain_openai import ChatOpenAI
from langchain_ollama import ChatOllama from langchain_ollama import ChatOllama
from langchain_mistralai import ChatMistralAI from langchain_mistralai import ChatMistralAI
from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.language_models.chat_models import BaseChatModel
from transformers import GPT2TokenizerFast
def num_tokens_calculus(string: str, llm_model: BaseChatModel) -> int: def num_tokens_calculus(string: str, llm_model: BaseChatModel) -> int:
""" """
@ -24,13 +23,6 @@ def num_tokens_calculus(string: str, llm_model: BaseChatModel) -> int:
from .tokenizers.tokenizer_ollama import num_tokens_ollama from .tokenizers.tokenizer_ollama import num_tokens_ollama
num_tokens_fn = num_tokens_ollama num_tokens_fn = num_tokens_ollama
elif isinstance(llm_model, GPT2TokenizerFast):
def num_tokens_gpt2(text: str, model: BaseChatModel) -> int:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
tokens = tokenizer.encode(text)
return len(tokens)
num_tokens_fn = num_tokens_gpt2
else: else:
from .tokenizers.tokenizer_openai import num_tokens_openai from .tokenizers.tokenizer_openai import num_tokens_openai
num_tokens_fn = num_tokens_openai num_tokens_fn = num_tokens_openai

7
scrapegraphai/utils/tokenizers/tokenizer_ollama.py
View File

@ -3,7 +3,6 @@ Tokenization utilities for Ollama models
""" """
from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.language_models.chat_models import BaseChatModel
from ..logging import get_logger from ..logging import get_logger
from transformers import GPT2TokenizerFast
def num_tokens_ollama(text: str, llm_model:BaseChatModel) -> int: def num_tokens_ollama(text: str, llm_model:BaseChatModel) -> int:
""" """
@ -22,12 +21,8 @@ def num_tokens_ollama(text: str, llm_model:BaseChatModel) -> int:
logger.debug(f"Counting tokens for text of {len(text)} characters") logger.debug(f"Counting tokens for text of {len(text)} characters")
if isinstance(llm_model, GPT2TokenizerFast):
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
tokens = tokenizer.encode(text)
return len(tokens)
# Use langchain token count implementation # Use langchain token count implementation
# NB: https://github.com/ollama/ollama/issues/1716#issuecomment-2074265507 # NB: https://github.com/ollama/ollama/issues/1716#issuecomment-2074265507
tokens = llm_model.get_num_tokens(text) tokens = llm_model.get_num_tokens(text)
return tokens return tokens