Token Classification
GLiNER
PyTorch
multilingual
bert
Inference Endpoints
File size: 889 Bytes
4e97a81
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
# from handler import EndpointHandler
#
# # init handler
# my_handler = EndpointHandler(path=".")
#
# # prepare sample payload
# non_holiday_payload = {"inputs": "I am quite excited how this will turn out", "date": "2022-08-08"}
# holiday_payload = {"inputs": "Today is a though day", "date": "2022-07-04"}
#
# # test the handler
# non_holiday_pred=my_handler(non_holiday_payload)
# holiday_payload=my_handler(holiday_payload)
#
# # show results
# print("non_holiday_pred", non_holiday_pred)
# print("holiday_payload", holiday_payload)
#
# # non_holiday_pred [{'label': 'joy', 'score': 0.9985942244529724}]
# # holiday_payload [{'label': 'happy', 'score': 1}]
from handler import EndpointHandler

handler = EndpointHandler(path=".")

# Example input data
test_data = {
    "inputs": "John Doe visited New York last week."
}

# Invoke the handler
result = handler(test_data)
print(result)