update dist multitask example name

Add example notebook for distributed multi-task cell classification (#543)

specify bitsandbites version

add V2 models

update with V2 models

edit docs to remove backend isp functions

fix TypeError: TrainingArguments.__init__() got an unexpected keyword argument 'evaluation_strategy' (#539)

add fallback task_type for LoraConfig to support different PEFT versions (#538)

update eval_strategy for new transformers version

move import wandb to conditional

fully qualified imports to resolve name-space conflicts (#532)

ddp_mtl_nccl_support (#524)

edit imports in perturber_utils

fix exact_mean subselection to be for index rather than col name

fix exact_mean and exact_median to subselect dataframe emb cols, not cell rows

add quantization for pretrained model

Prepare data cell level pass cell state dict instead of genes (#483)

ensure gene class dict only inverted when using gene classifier

make plot roc compatible with eval-only metrics

Merge remote-tracking branch 'origin/main'

fix gene class dict labeling

Fix how mappings and train and val data are returned (#473)

Upload gene_name_id_dict_gc95M.pkl (#470)

Add checks for custom attributes and n_counts prior to sum ensembl id (#461)

further emphasize different token dictionaries in examples

remove unused imports while no longer using distributed sampler

Raise error for train and validation mismatch (#459)

Upload in_silico_perturber.py (#432)

Update geneformer/emb_extractor.py (#453)

Update geneformer/tokenizer.py (#450)

update isp default mode to cls

Adding tags to the model (#448)

update transformers version to match pretrainer using accelerate

update pretrainer to not use distributed sampler (Trainer uses accelerate)

update function for N_Detections for mixture_model without anchor_token

add check to ensure emb_label is None for getting state embs dict

change default emb to cls

include install time in model card

Update trainer output dir (#427)

Update geneformer/tokenizer.py (#415)

Create multi-task_cell_classification.ipynb (#418)

CUDA kernels incompatible with standard PyTorch device movement with 4bit/8bit, necessitating device-specific handling (#416)

Add find_packages to automatically include mtl and subpackages in setup.py (#410)

adding tensorboard to setup.py (#409)

tensorboard add to reqs (#407)

dictionaries from parent dir (#405)

remove token dictionary and unpickling from init (#403)

move dict loading to function in eval utils

edit doc formatting

edit docs formatting