<｜begin▁of▁sentence｜>### Instruction:
Given the number of vertices (n) and a specified number of edges (m), how can we generate and visualize an Erdos Renyi (n, m) graph using the 'er_nm' function from graspologic and NetworkX for graph visualization?
### Response:
import numpy as np
import networkx as nx
from graspologic.simulations import er_nm

# Set the random seed for reproducibility
np.random.seed(1)

# Specify the number of vertices and edges for the Erdos Renyi graph
n = 6
m = 10

# Generate a binary Erdos Renyi (n, m) graph
A = er_nm(n, m)

# Convert the adjacency matrix to a NetworkX graph
G = nx.from_numpy_array(A)

# Draw the graph
nx.draw(G, with_labels=True)
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