flant5-large-sufficiency-classifier

Inference with Dedicated Endpoint

import requests

API_URL = "https://ag765g6yhowax6vb.us-east4.gcp.endpoints.huggingface.cloud"
headers = {
	"Accept" : "application/json",
	"Content-Type": "application/json" 
}

def query(payload):
	response = requests.post(API_URL, headers=headers, json=payload)
	return response.json()

prefix = "Determine whether the context is sufficient to answer the question:"
question = "name the unit of mass that is used in the same measurement system as gray per second?"
context = "('Gray per second', 'measurement_unit.absorbed_dose_rate_unit.measurement_system', 'International System of Units')"
input_ = f"""{prefix}

Question: {question}

Context: {context}"""

output = query({
	"inputs": input_,
	"parameters": {}
})