Instructions to use Ihor/DILI-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ihor/DILI-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ihor/DILI-scibert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ihor/DILI-scibert") model = AutoModelForSequenceClassification.from_pretrained("Ihor/DILI-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Citation
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If using these models, please cite the following paper:
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@article{Stepanov2023ComparativeAO,
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title={Comparative analysis of classification techniques for topic-based biomedical literature categorisation},
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author={Ihor Stepanov and Arsentii Ivasiuk and Oleksandr Yavorskyi and Alina Frolova},
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year={2023},
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volume={14},
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url={https://api.semanticscholar.org/CorpusID:265428155}
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}
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### Citation
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If using these models, please cite the following paper:
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```
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@article{Stepanov2023ComparativeAO,
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title={Comparative analysis of classification techniques for topic-based biomedical literature categorisation},
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author={Ihor Stepanov and Arsentii Ivasiuk and Oleksandr Yavorskyi and Alina Frolova},
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year={2023},
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volume={14},
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url={https://api.semanticscholar.org/CorpusID:265428155}
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}
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```
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