Rename to model.bin

pipeline.py

@@ -1,30 +0,0 @@
-from typing import Dict, List
-
-import os
-
-import fasttext.util
-
-class PreTrainedPipeline():
-
-    def __init__(self, path=""):
-        """
-        Initialize model
-        """
-
-        self.model = fasttext.load_model(os.path.join(path, 'debate2vec.bin'))
-
-    def __call__(self, inputs: str) -> List[List[Dict[str, float]]]:
-        """
-        Args:
-            inputs (:obj:`str`):
-                a string containing some text
-        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.
-        """
-        preds = self.model.get_nearest_neighbors("dog", k=10)
-        result = []
-        for distance, word in preds:
-            result.append({"label": word, "score": distance})
-        return [result]