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_70preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_280SOCO-Java-CodeBERTa-MNRL-Triplets-BATL-EVAL-BCE-Ep2DEFAULT_5000steps_len512multi-qa-MiniLM-L6-dot-v1-2-constant-ep-MNRLtriplets-2e-5-batch32-cuda-overlapSOCO-Java-CodeBERTa-MNRL-Triplets-BATL-EVAL-BCE7_shot_STA_freezed_body_1e-5_batch_8preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_140preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_180bge-small-bioasq-3epochs-batch32preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_20bge-small-bioasq-1epoch-batch32-100stepspreliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_270bge-m3-finetune-1500step-len256all-mpnet-base-v2-bioasq-1epoc-batch32-100preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_230batch32-100GTDB-EMBEDDING_MODEL-1epoch_1e-6all-mpnet-base-v2-patabs-1epoc-batch32-100000preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_170all-MiniLM-L6-v2-fine-tuned-sent-sent-epochs-10-iter-10-batch-32DEFAULT_256_10000all-MiniLM-L6-v2-fine-tuned-epochs-50-iter-20-batch-32all-MiniLM-L6-v2-fine-tuned-sent-label-epochs-10-iter-10-batch-32preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_1507_shot_STA_sk_batch10preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_130preliminary_efficient_batching_random_gist_checkpoint_epoch_1_step_80