Delete pipeline.py

pipeline.py

@@ -1,26 +0,0 @@
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
-
-class PreTrainedPipeline():
-    def __init__(self, path=""):
-        # IMPLEMENT_THIS
-        # Preload all the elements you are going to need at inference.
-        # For instance your model, processors, tokenizer that might be needed.
-        # This function is only called once, so do all the heavy processing I/O here"""
-        model = AutoModelForCausalLM.from_pretrained(path)
-        tokenizer = AutoTokenizer.from_pretrained(path)
-
-        self.pipe = pipeline(task="text-generation", 
-            model=model, 
-            tokenizer=tokenizer
-            )
-
-    def __call__(self, inputs):
-        """
-        Args:
-            inputs (:obj:`np.array`):
-                The raw waveform of audio received. By default at 16KHz.
-        Return:
-            A :obj:`dict`:. The object return should be liked {"text": "XXX"} containing
-            the detected text from the input audio.
-        """
-        return self.pipe(inputs)[0]