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ibm
/
materials.smi-ted
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IBM
2,128
Feature Extraction
Transformers
PyTorch
Safetensors
Diffusers
doi:10.57967/hf/2778
SMI-TED
chemistry
foundation models
AI4Science
materials
molecules
transformer
Inference Endpoints
arxiv:
2407.20267
License:
apache-2.0
Model card
Files
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refs/pr/6
materials.smi-ted
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smi-ted
/
training
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vshirasuna
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smi_ted_light
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args.py
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bert_vocab_curated.txt
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pubchem_canon_script.py
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pubchem_canon_zinc_final_vocab_sorted_curated.pth
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pubchem_encoder.py
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pubchem_script.py
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run_model_large_training.sh
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run_model_light_training.sh
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send_job_large.slurm
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send_job_light.slurm
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train_model_D.py
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train_model_ED.py
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trainer.py
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utils.py
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