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.
ModernBERT-neg-sampling-PubMedNegMPNetall-mpnet-base-v2-negationall-MiniLM-L6-v2-negationse5-large-neg-v0-bs40-lr1e-6-7541mpnet-snli-negativese5-large-neg-v0-bs40-lr1e-6-7000negative_sampling_pmbbiencoder_ep10_bs32_lr2e5_cosine_annealing_hard_neg_2mpnet-base-nq-cgist-triplet-neg-gtenegasibert-mnrlvietnamese-bi-encoder-on-vbpl-with-negmuril-base-cased-assamese-indicxnli-random-negatives-v1-stsnegasibert-mbmmulti-qa-mpnet-base-dot-v1-covidqa-search-multiple-negatives-lossnegasibert-mnrlse5-base-neg-full-preprocessede5-large-neg-v0-bs64-1000e5-large-neg-v0-bs64-2000e5-large-neg-v0-bs40-lr1e-6-2000e5-large-neg-v0-bs40-lr1e-6-5000me5-small-preskripsi-embedding-pos-negModernBERT-base-finetuned-hard_negativesphobert-hackathon-no-nege5-large-filtered-our-neg5-3696e5-large-neg-v0-bs40-lr1e-6-3000MNLP_M3_tokenizer_tuned_pos_neg_2embeddinggemma-graph-instructions-hard-negatives-finaltopic-negative-embeddingsmodernbert-msmarco-cocondenser-negatives