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
metadata
datasets:
- Galahad3x/QADatasetForPatho
language:
- en
metrics:
- exact_match
- f1
library_name: transformers
tags:
- chemistry
- contamination
- waterborne
- question answering
Question Answering Model for the PathoTHREAT Project