update tokenizer to defaults for 95M models for special token and input size

pointing dictionaries from the mtl module's init (#397)

Refactored token dictionary loading and encapsulated dictionary (#398)

Refactor: Convert mask_token_id, pad_token_id, and all_special_ids to properties (#395)

sync token_dictionary variable name w/ classifier

fix imports mtl/eval_utils

allow model_type valid options to take params model_type : {"Pretrained", "GeneClassifier", "CellClassifier", "MTLCellClassifier", "MTLCellClassifier-Quantized"} (#390)

"save_model_without_heads" is redundant (#385)

comment out "def save_model_without_heads(original_model_save_directory)"; redundant for ISP/Emb extractor (#382)

fixed bug related to dynamic ranges in dictionary with 'min' and 'max' value mismatch in optuna suggest fn (#380)

precommit formatting

update with 12L and 20L i4096 gc95M models, multitask and quantiz code

rename for consistency

delete old gene name dict

update to only have gene names as keys in gene_name_id_dict

Add function for summing of Ensembl IDs (#377)

save pval

add typing list import

move dicts to init

add random state to umap

update get_embs with token_gene_dict arg

update refs to get_model_emb_dims

embs_df with all model embeddings (#363)

Add function to get number of model embeddings (#364)

clone embs_i to resolve memory leak in cls embs

update perturber stats to reflect cos sim and emb_extractor to suppress warnings for non-cls

update to account for set of perturbed genes with aggregate_data

update to enable cls emb

update tokenizer to include eos token

Update geneformer/emb_extractor.py (#350)

Upload in_silico_perturber_stats.py (#313)

fix cell state gene embeddings bug (#345)

patch datasets save_to_disk

update kwargs for pretrainer

refer to token dictionary in self

Update for gene classification (#330)

Update with gene classifier, custom token dict, and str validate options (#329)

add option for hyperparameter tuning to cc.validate

correct typo

update examples for predict_eval and handle roc for 2 cell classes

Update readthedocs for classifier

Get the gene keys and gene list keys from the token dictionary instead of medians (#304)

Prevent ruff/isort on init

Add classifier module and examples

Update geneformer/emb_extractor.py (#303)

Fix typo (#301)

Add option for variable input_size and to add CLS/SEP Tokens (#299)

add load model for train and fix validate anchor gene error

Handle case of single gene del for isp modeling of gene embs

edit docstring format to highlight options