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 # 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="Galahad3x/QAModelForPatho")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Galahad3x/QAModelForPatho") model = AutoModelForQuestionAnswering.from_pretrained("Galahad3x/QAModelForPatho", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Galahad3x/QAModelForPatho: direct link, hf CLI and curl.
- Browser
- Download file 238 Bytes
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https://huggingface.co/Galahad3x/QAModelForPatho/resolve/main/README.md
- Command line
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hf download hf://Galahad3x/QAModelForPatho/README.md
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curl -L -o README.md https://huggingface.co/Galahad3x/QAModelForPatho/resolve/main/README.md
238 Bytes
| 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 |