Python

Search

generate python

from transformers import AutoTokenizer, AutoModelWithLMHead


tokenizer = AutoTokenizer.from_pretrained("Sentdex/GPyT")
model = AutoModelWithLMHead.from_pretrained("Sentdex/GPyT").to("cuda")


def generate(code, max_length=100):
    '''Takes input code, replaces newline chars with <N>, 
    tokenizes, feeds thru model, decodes, 
    then reformats the newlines back in'''
    newlinechar = "<N>"
    converted = code.replace("
", newlinechar)
    tokenized = tokenizer.encode(converted, return_tensors='pt').to("cuda")
    resp = model.generate(tokenized, max_length=max_length).to("cuda")

    decoded = tokenizer.decode(resp[0])
    reformatted = decoded.replace("<N>","
")
    return reformatted


print(generate("import"))

Comment

PREVIOUS	NEXT

Code Example
Python :: python reverse dictionary
Python :: django login required as admin
Python :: {"message": "401: Unauthorized", "code": 0} discord
Python :: how to get a list of all variables in memory python
Python :: python post request multi argument
Python :: sort a list python
Python :: check if text is python
Python :: tree in python
Python :: How to Remove Items in a Set in Python Using the discard() Method
Python :: pandas python3 only
Python :: atoi in python code
Python :: pandas fillna multiple columns
Python :: upload file setup django url
Python :: declaring list size python
Python :: python math exp
Python :: how to print
Python :: plt.hist bins
Python :: kaspersky
Python :: time converting module
Python :: check for null values in rows pyspark
Python :: swarm plot
Python :: combine 3 jupyter cells together
Python :: kwargs in python
Python :: what is the django orm
Python :: python minimum
Python :: index in python
Python :: how to slice list
Python :: python online
Python :: python declare 2d list
Python :: or in if statement python

Search

PYTHON

generate python

ADD CONTENT