temp_markup / handler.py
Jasper Lu
Add initial
2cf97f7
raw
history blame
1.19 kB
from typing import Dict, List, Any
from transformers import AutoProcessor, MarkupLMModel
class EndpointHandler():
def __init__(self, path=""):
self.processor = AutoProcessor.from_pretrained("microsoft/markuplm-large")
self.model = MarkupLMModel.from_pretrained("microsoft/markuplm-large")
def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
"""
Args:
data (:obj:):
includes the input data and the parameters for the inference.
Return:
A :obj:`list`:. The object returned should be a list of one list like [[{"label": 0.9939950108528137}]] containing :
- "label": A string representing what the label/class is. There can be multiple labels.
- "score": A score between 0 and 1 describing how confident the model is for this label/class.
"""
#print(data)
inputs = data.pop("inputs", data)
encoding = self.processor(inputs, return_tensors="pt")
output = self.model(**encoding)
return {"last_hidden_state": output.last_hidden_state[0].tolist(),
"pooler_output": output.pooler_output[0].tolist()}