File size: 1,485 Bytes
ce587a5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 |
from transformers import AutoTokenizer
import os
from typing import Union
class TokenizerWrapper:
def __init__(self, tokenizer_name_or_path, tokenizer_revision, trust_remote_code):
print(f"tokenizer_name_or_path: {tokenizer_name_or_path}, tokenizer_revision: {tokenizer_revision}, trust_remote_code: {trust_remote_code}")
self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_name_or_path, revision=tokenizer_revision or "main", trust_remote_code=trust_remote_code)
self.custom_chat_template = os.getenv("CUSTOM_CHAT_TEMPLATE")
self.has_chat_template = bool(self.tokenizer.chat_template) or bool(self.custom_chat_template)
if self.custom_chat_template and isinstance(self.custom_chat_template, str):
self.tokenizer.chat_template = self.custom_chat_template
def apply_chat_template(self, input: Union[str, list[dict[str, str]]]) -> str:
if isinstance(input, list):
if not self.has_chat_template:
raise ValueError(
"Chat template does not exist for this model, you must provide a single string input instead of a list of messages"
)
elif isinstance(input, str):
input = [{"role": "user", "content": input}]
else:
raise ValueError("Input must be a string or a list of messages")
return self.tokenizer.apply_chat_template(
input, tokenize=False, add_generation_prompt=True
)
|