Closed jpata closed 1 week ago
One version is addressed in #69. The two other implementations not done so far are the
v2.1 and v2.2 addressed in PR #70
In PR #75 both the ParT embedding and self-attention layers were replaced by the OmniJet backbone embedding for a simpler model.
use OmniJet tokenizer + GPT backbone for the per-particle embedding in ParticleTransformer.