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luispintoc/
MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep

Name: MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep
Availability: InStock

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MoleBERT Tokenizer

This model is a molecular tokenizer trained on Nb-based TMC. From scratch, 400k train molecules, 30 epochs Test loss = 0.22 Code from: https://github.com/Rich-XGK/GTMGC

Usage

python

from models.mole_bert_tokenizer import MoleBERTTokenizerCollator, MoleBERTTokenizer
tokenizer = MoleBERTTokenizer.from_pretrained(...)

luispintoc/MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep

MoleBERT Tokenizer

Usage

luispintoc/
MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep