# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("DeepChem/SmilesTokenizer_PubChem_1M")
model = AutoModel.from_pretrained("DeepChem/SmilesTokenizer_PubChem_1M", device_map="auto")Quick Links
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RoBERTa model trained on 1M SMILES from PubChem 77M set in MoleculeNet. Uses Smiles-Tokenizer
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepChem/SmilesTokenizer_PubChem_1M")