Question Answering
Transformers
TensorBoard
Safetensors
English
bert
Generated from Trainer
extractive_QA
Instructions to use hf-tuner/bert-mini-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tuner/bert-mini-squadv2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="hf-tuner/bert-mini-squadv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tuner/bert-mini-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("hf-tuner/bert-mini-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update accuracy: normalized answer comparison result
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End of training
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End of training
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initial commit
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