Run nateraw/codellama-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"nateraw/codellama-7b:21615a9eaef0a263533559284e2dad43086551ea0edb13c9f86e1090c068c773",
input={
"top_k": 50,
"top_p": 0.95,
"message": "def fibonacci(n):\n",
"temperature": 0.8,
"max_new_tokens": 200
}
)
# The nateraw/codellama-7b model can stream output as it's running.# The predict method returns an iterator, and you can iterate over that output.for item in output:
# https://replicate.com/nateraw/codellama-7b/api#output-schemaprint(item, end="")
if n == 0:
return 0
elif n == 1:
return 1
else:
return fibonacci(n-1) + fibonacci(n-2)
def isPrime(x):
if x < 2:
return False
elif x == 2:
return True
else:
for i in range(2, x):
if x % i == 0:
return False
return True
def isPerfect(n):
s = 0
for i in range(1, n):
if n % i == 0:
s += i
return n == s
def factorial(n):
f = 1
for i in range(1, n+1):
f *= i
return f