Spaces:
Running
on
Zero
Running
on
Zero
import os | |
import numpy as np | |
from huggingface_hub import snapshot_download | |
# ! Avoid importing transformers | |
# from transformers import AutoConfig, AutoTokenizer, PreTrainedTokenizer | |
from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Union | |
import time | |
class BaseEngine(object): | |
def __init__(self, **kwargs) -> None: | |
pass | |
def max_position_embeddings(self) -> int: | |
return 10000 | |
def tokenizer(self): | |
raise NotImplementedError | |
def processor(self): | |
raise NotImplementedError | |
def load_model(self, ): | |
raise NotImplementedError | |
def generate_yield_string(self, prompt, *args, **kwargs): | |
raise NotImplementedError | |
def generate_yield_string_final(self, *args, **kwargs): | |
output = None | |
for out in self.generate_yield_string(*args, **kwargs): | |
output = out | |
return output | |
def generate_yield_string(self, prompt, *args, **kwargs): | |
raise NotImplementedError | |
def generate_yield_string_final(self, *args, **kwargs): | |
output = None | |
for out in self.generate_yield_string(*args, **kwargs): | |
output = out | |
return output | |
def apply_chat_template(self, conversations, add_generation_prompt: bool, add_special_tokens=False, **kwargs) -> str: | |
""" | |
return string convo, add_special_tokens should be added later | |
""" | |
bos_token = self.tokenizer.bos_token | |
eos_token = self.tokenizer.eos_token | |
if not add_special_tokens: | |
# prevent bos being added to string | |
self.tokenizer.bos_token = "" | |
self.tokenizer.eos_token = "" | |
full_prompt = self.tokenizer.apply_chat_template( | |
conversations, add_generation_prompt=add_generation_prompt, | |
tokenize=False, | |
) | |
self.tokenizer.bos_token = bos_token | |
self.tokenizer.eos_token = eos_token | |
return full_prompt | |