Intae/mymodel
https://huggingface.co/Intae/mymodelSourced from
- HuggingFace — Intae/mymodel
Related resources
Using llama.cpp release b5466 for quantization.
Prior-Labs/tabpfn_3
by Prior-Labs### Model Overview TabPFN-3 is a transformer-based foundation model that uses in-context-learning to solve tabular prediction problems in a forward pass. Inference code can be found at https://github.com/PriorLabs/TabPFN. More details can be found in the Model Report.
Prior-Labs/tabpfn_2_5
by Prior-Labs### Model Overview TabPFN-2.5 is a transformer-based foundation model that uses in-context-learning to solve tabular prediction problems in a forward pass. Inference code can be found at https://github.com/PriorLabs/tabPFN.
Prior-Labs/tabpfn_2_6
by Prior-Labs### Model Overview TabPFN-2.6 is a transformer-based foundation model that uses in-context-learning to solve tabular prediction problems in a forward pass. Inference code can be found at https://github.com/PriorLabs/tabPFN.
Directed message passing neural networks for property prediction of molecules and reactions with uncertainty and interpretation.
Another list focuses on Python stuff related to Chemistry.