# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Parsa/BBB_prediction_classification_SMILES")
model = AutoModelForSequenceClassification.from_pretrained("Parsa/BBB_prediction_classification_SMILES")Quick Links
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Check out the documentation for more information.
A fine-tuned model based on'DeepChem/ChemBERTa-77M-MLM'for Blood brain barrier permeability prediction based on SMILES 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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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Parsa/BBB_prediction_classification_SMILES")