0.1.25

fix handling of N in genetic sequence

0.1.24

add descriptions for 2 pretrained models

0.1.23

patch

0.1.21

add checkpointing to transformers trunk, to save on memory when finet…

0.1.20

allow for overriding all dropouts, as well as convenience method for …

0.1.16

allow variable lengthed contexts

0.1.15

add prenorm residual to attention aggregation fine tuning adapter

0.1.14

add attention aggregation fine-tuning with dynamic contexts

0.1.11

0.1.11

0.1.10

allow for passing externally defined enformer model into load_pretrai…