Instructions to use Parsa/BBB_prediction_classification_IUPAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Parsa/BBB_prediction_classification_IUPAC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Parsa/BBB_prediction_classification_IUPAC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Parsa/BBB_prediction_classification_IUPAC") model = AutoModelForSequenceClassification.from_pretrained("Parsa/BBB_prediction_classification_IUPAC") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
A fine-tuned model based on'gumgo91/IUPAC_BERT'for Blood brain barrier permeability prediction based on IUPAC string. There are also BiLSTM models available as well as these two models in 'https://github.com/mephisto121/BBBNLP if you want to check them all and check the codes too.
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