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# outlines/processor/structured.py | |
... | |
class GuideLogitsProcessor(OutlinesLogitsProcessor): | |
"""Bias generation using a finite | |
Attributes | |
---------- | |
tokenizer | |
The tokenizer used to convert tokens to ids. | |
guide |
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import chess | |
import re | |
import outlines.text.generate as generate | |
import outlines.models as models | |
import chess.engine | |
import chessboard.display | |
import os | |
os.environ["TOKENIZERS_PARALLELISM"] = "false" |
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import numpy as np | |
from sklearn import linear_model | |
import pandas as pd | |
import requests | |
from sklearn.feature_extraction import DictVectorizer | |
team_id_list = ['1610612737','1610612738','1610612751','1610612766','1610612741','1610612739','1610612742','1610612743','1610612765','1610612744','1610612745','1610612754','1610612746','1610612747','1610612763','1610612748','1610612749','1610612750','1610612740','1610612752','1610612760','1610612753','1610612755','1610612756','1610612757','1610612758','1610612759','1610612761','1610612762','1610612764'] | |
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'} |
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