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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
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1dc6209
materials.smi-ted
/
smi-ted
/
finetune
6 contributors
History:
2 commits
eduardosoares99
Add evaluate method and option to save for each epoch in finetune (
#7
)
2b992bc
verified
about 2 months ago
moleculenet
Upload 159 files
4 months ago
smi_ted_large
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4 months ago
smi_ted_light
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4 months ago
args.py
11.9 kB
Add evaluate method and option to save for each epoch in finetune (#7)
about 2 months ago
finetune_classification.py
1.93 kB
Add evaluate method and option to save for each epoch in finetune (#7)
about 2 months ago
finetune_classification_multitask.py
3.77 kB
Add evaluate method and option to save for each epoch in finetune (#7)
about 2 months ago
finetune_regression.py
1.99 kB
Add evaluate method and option to save for each epoch in finetune (#7)
about 2 months ago
trainers.py
20.2 kB
Add evaluate method and option to save for each epoch in finetune (#7)
about 2 months ago
utils.py
3.5 kB
Upload 159 files
4 months ago
