models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
FinModernBERT-embed-large-v1BatchAllTripletLoss-job-titlepreliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_280preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_70DEFAULT_5000steps_len512multi-qa-MiniLM-L6-dot-v1-2-constant-ep-MNRLtriplets-2e-5-batch32-cuda-overlap7_shot_STA_freezed_body_1e-5_batch_8SOCO-Java-CodeBERTa-MNRL-Triplets-BATL-EVAL-BCEbge-small-bioasq-3epochs-batch32bge-m3-finetune-1500step-len256all-mpnet-base-v2-bioasq-1epoc-batch32-100preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_140preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_180preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_20SOCO-Java-CodeBERTa-MNRL-Triplets-BATL-EVAL-BCE-Ep2batch32-100preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_270preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_230preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_170all-MiniLM-L6-v2-fine-tuned-sent-sent-epochs-10-iter-10-batch-32all-MiniLM-L6-v2-fine-tuned-epochs-50-iter-20-batch-32DEFAULT_256_10000GTDB-EMBEDDING_MODEL-1epoch_1e-67_shot_STA_sk_batch10all-MiniLM-L6-v2-fine-tuned-sent-label-epochs-10-iter-10-batch-32preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_150preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_220preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_80preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_130FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel_Roberta_28000_test_consistency_4_batch16