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albert-base-v2-squad
xichenn/albert-base-v2-squad
albert-base-v2-squad is a question answering model from xichenn. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of albert-base-v2 on the SQuAD 1.1 and adversarialqa datasets. It achieves the following results on the SQuAD 1.1 evaluation set: - Exact Match(EM): 84.68 - F1: 91.40
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Jan 10, 2025
- Updated
- Jan 10, 2025
- SHA
- 957e2ab5
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
albert-base-v2-squad
This model is a fine-tuned version of albert-base-v2 on the SQuAD 1.1 and adversarial_qa datasets. It achieves the following results on the SQuAD 1.1 evaluation set:
- Exact Match(EM): 84.68
- F1: 91.40
Inference API
You can test the model directly using the Hugging Face Inference API:
from transformers import pipeline
# Load the pipeline
qa_pipeline = pipeline("question-answering", model="xichenn/albert-base-v2-squad")
# Run inference
result = qa_pipeline(question="What is the capital of France?", context="France is a country in Europe. Its capital is Paris.")
print(result)
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 10, 2025
- Updated
- Jan 10, 2025