Model Card for Model ID
How to Use
1from transformers import AutoTokenizer, AutoModelForQuestionAnswering, pipeline
2from peft import PeftModel, PeftConfig
3
4config = PeftConfig.from_pretrained("MohamedShakhsak/bert-qa-squad2_V1")
5base_model = AutoModelForQuestionAnswering.from_pretrained(config.base_model_name_or_path)
6model = PeftModel.from_pretrained(base_model, "MohamedShakhsak/bert-qa-squad2_V1")
7
8tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
9qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)
10
11examples = [
12 {
13 "question": "What is the capital of France?",
14 "context": "Paris is the capital and most populous city of France."
15 },
16 {
17 "question": "When was the iPhone first released?",
18 "context": "The first iPhone was released by Apple Inc. on June 29, 2007."
19 }
20]
21
22for example in examples:
23 answer = qa_pipeline(example)
24 print(f"Q: {example['question']}\nA: {answer}\n")
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