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MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep
luispintoc/MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep
MoleBERT-Tokenizer-NbTMC_scratch_400k_30ep is a machine learning model from luispintoc. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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
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At a glance
- Access
- Public
- Created
- May 9, 2025
- Updated
- May 9, 2025
- SHA
- a999961a
Model card
From the Hugging Face model README
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
from models.mole_bert_tokenizer import MoleBERTTokenizerCollator, MoleBERTTokenizer
tokenizer = MoleBERTTokenizer.from_pretrained(...)
- Created
- May 9, 2025
- Updated
- May 9, 2025