RationAI/LSP-DETR
https://huggingface.co/RationAI/LSP-DETRMatěj Pekár, Vít Musil, Rudolf Nenutil, Petr Holub, Tomáš Brázdil
Sourced from
- HuggingFace — RationAI/LSP-DETR
Related resources
nvidia/AMPLIFY_350M
by nvidia> [!NOTE] > This model has been optimized using NVIDIA's TransformerEngine > library. Slight numerical differences may be observed between the original model and the optimized > model. For instructions on how to install TransformerEngine, please refer to the > official documentation.
nvidia/AMPLIFY_120M
by nvidia> [!NOTE] > This model has been optimized using NVIDIA's TransformerEngine > library. Slight numerical differences may be observed between the original model and the optimized > model. For instructions on how to install TransformerEngine, please refer to the > official documentation.
## Important Notice If you are using GENERator for sequence generation, please ensure that the length of each input sequence is a multiple of 6. This can be achieved by either: 1. Padding the sequence on the left with 'A' (left padding); 2. Truncating the sequence from the left (left truncation).
A compact protein language model distilled from ProtGPT2 using complementary-regularizer distillation---a method that combines uncertainty-aware position weighting with calibration-aware label smoothing to achieve 31% better perplexity than standard knowledge distillation at 3.8x compression.