Delete complexity_score.py

complexity_score.py

@@ -1,41 +0,0 @@
-<<<<<<< HEAD
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
-import torch
-
-# Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("thethinkmachine/Maxwell-Task-Complexity-Scorer-v0.2")
-model = AutoModelForSequenceClassification.from_pretrained("thethinkmachine/Maxwell-Task-Complexity-Scorer-v0.2")
-
-# Example task
-task_description = "find a new theory"
-
-# Tokenize the input
-inputs = tokenizer(task_description, return_tensors="pt")
-
-# Perform inference
-with torch.no_grad():
-    outputs = model(**inputs)
-    complexity_score = torch.sigmoid(outputs.logits).item()
-
-print(f"Task Complexity Score: {complexity_score:.4f}")
-=======
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
-import torch
-
-# Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("thethinkmachine/Maxwell-Task-Complexity-Scorer-v0.2")
-model = AutoModelForSequenceClassification.from_pretrained("thethinkmachine/Maxwell-Task-Complexity-Scorer-v0.2")
-
-# Example task
-task_description = "find a new theory"
-
-# Tokenize the input
-inputs = tokenizer(task_description, return_tensors="pt")
-
-# Perform inference
-with torch.no_grad():
-    outputs = model(**inputs)
-    complexity_score = torch.sigmoid(outputs.logits).item()
-
-print(f"Task Complexity Score: {complexity_score:.4f}")
->>>>>>> b1313c5d084e410cadf261f2fafd8929cb149a4f