Instructions to use mikemayuare/SELFY-APE-tox21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikemayuare/SELFY-APE-tox21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mikemayuare/SELFY-APE-tox21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mikemayuare/SELFY-APE-tox21") model = AutoModelForSequenceClassification.from_pretrained("mikemayuare/SELFY-APE-tox21") - Notebooks
- Google Colab
- Kaggle
added paper
Browse files
README.md
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### Model Sources
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- **Paper :**
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## Uses
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### Model Sources
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- **Paper :** Leon, M., Perezhohin, Y., Peres, F. et al. Comparing SMILES and SELFIES tokenization for enhanced chemical language modeling. Sci Rep 14, 25016 (2024). https://doi.org/10.1038/s41598-024-76440-8
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## Uses
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