# this will compute sample weight for us
from sklearn.utils import compute_sample_weight

#coputing class weights, this will be (num_samples_in_y,)
sample_weights = compute_sample_weight(class_weight='balanced',y=y)

model = XGBClassifier()

# just plug sample weight parameter into your model
model.fit(X,y,sample_weight=sample_weights)