Create Familytrainer

Familytrainer

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+pip install transformers datasets
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("DetectiveShadow/ShadowFamily")
+
+# Inspect the dataset structure
+print(dataset)
+
+sample = dataset["train"][0]  # Get the first example
+print(sample)
+
+from transformers import pipeline
+
+# Load the QA pipeline with the model
+qa_pipeline = pipeline("question-answering", model="DetectiveShadow/QuestBoard")
+
+# Example: Use the first entry from the dataset
+question = dataset["train"][0]["question"]  # Extract question
+context = dataset["train"][0]["context"]    # Extract context
+
+# Get the answer from the model
+result = qa_pipeline(question=question, context=context)
+
+# Print the result
+print(f"Question: {question}")
+print(f"Answer: {result['answer']}")
+
+for entry in dataset["train"]:
+    question = entry["question"]
+    context = entry["context"]
+
+    result = qa_pipeline(question=question, context=context)
+    
+    print(f"Question: {question}")
+    print(f"Answer: {result['answer']}\n")