Question Answering
Transformers
PyTorch
Safetensors
English
roberta
chemistry
contamination
waterborne
question answering
Instructions to use Galahad3x/QAModelForPatho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galahad3x/QAModelForPatho with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Galahad3x/QAModelForPatho")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Galahad3x/QAModelForPatho") model = AutoModelForQuestionAnswering.from_pretrained("Galahad3x/QAModelForPatho") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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datasets:
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- Galahad3x/QADatasetForPatho
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language:
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- en
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metrics:
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- exact_match
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- f1
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library_name: transformers
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tags:
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- chemistry
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- contamination
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- waterborne
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- question answering
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