Joblib
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llm
human-feedback
weak supervision
data filtering
Inference Endpoints
Christopher Glaze
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from handler import EndpointHandler
import pandas as pd
# init handler
response_model_handler = EndpointHandler()
# prepare sample payload
payload = {'inputs': {"instruction": "What are some ways to stay energized throughout the day?",
"response": "Drink lots of coffee!"}}
# test the handler
pred=response_model_handler(payload)
print(pred)
payload = {'inputs': [{"instruction": "What are some ways to stay energized throughout the day?",
"response": "Drink lots of coffee!",
"dataset": ''},
{"instruction": "What are some ways to stay energized throughout the day?",
"response": "Drink lots of coffee!",
"dataset": 'dolly'},
{"instruction": "What are some ways to stay energized throughout the day?",
"response": "Drink lots of coffee!",
"dataset": 'open-assistant'},
{"instruction": "What are some ways to stay energized throughout the day?",
"response": "Drink lots of coffee!",
"dataset": 'helpful_instructions'}]}
# test the handler
pred=response_model_handler(payload)
print(pred)