Translation
Transformers
Safetensors
bert
question-answering
question answering
Generated from Trainer
Instructions to use Prience91/Question_Answering_extractive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prience91/Question_Answering_extractive with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="Prience91/Question_Answering_extractive")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Prience91/Question_Answering_extractive") model = AutoModelForQuestionAnswering.from_pretrained("Prience91/Question_Answering_extractive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Trainer_complete
Browse files
README.md
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- translation
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- generated_from_trainer
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- question answering
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- translation
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- generated_from_trainer
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model-index:
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