Datasets:
Euanyu
/
merged_task_dataset_models_BioNLP_results

Dataset card Data Studio Files
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Goodmotion/spam-mail-classifier
Goodmotion
text-classification
[ "transformers", "safetensors", "text-classification", "spam-detection", "license:apache-2.0", "endpoints_compatible", "region:us" ]
1,733
1,733
87
2
--- license: apache-2.0 tags: - transformers - text-classification - spam-detection --- # SPAM Mail Classifier This model is fine-tuned from `microsoft/Multilingual-MiniLM-L12-H384` to classify email subjects as SPAM or NOSPAM. ## Model Details - **Base model**: `microsoft/Multilingual-MiniLM-L12-H384` ...
[ "TEXT_CLASSIFICATION" ]
[ "ESSAI" ]
Non_BioNLP
knowledgator/gliner-poly-small-v1.0
knowledgator
token-classification
[ "gliner", "pytorch", "token-classification", "multilingual", "dataset:urchade/pile-mistral-v0.1", "dataset:numind/NuNER", "dataset:knowledgator/GLINER-multi-task-synthetic-data", "license:apache-2.0", "region:us" ]
1,724
1,724
32
14
--- datasets: - urchade/pile-mistral-v0.1 - numind/NuNER - knowledgator/GLINER-multi-task-synthetic-data language: - multilingual library_name: gliner license: apache-2.0 pipeline_tag: token-classification --- # About GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidi...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "ANATEM", "BC5CDR" ]
Non_BioNLP
QuantFactory/meditron-7b-GGUF
QuantFactory
null
[ "gguf", "en", "dataset:epfl-llm/guidelines", "arxiv:2311.16079", "base_model:meta-llama/Llama-2-7b", "base_model:quantized:meta-llama/Llama-2-7b", "license:llama2", "endpoints_compatible", "region:us" ]
1,727
1,727
206
1
--- base_model: meta-llama/Llama-2-7b datasets: - epfl-llm/guidelines language: - en license: llama2 metrics: - accuracy - perplexity --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5...
[ "QUESTION_ANSWERING" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
m42-health/Llama3-Med42-8B
m42-health
text-generation
[ "transformers", "safetensors", "llama", "text-generation", "m42", "health", "healthcare", "clinical-llm", "conversational", "en", "arxiv:2408.06142", "license:llama3", "autotrain_compatible", "text-generation-inference", "region:us" ]
1,719
1,724
1,966
62
--- language: - en license: llama3 license_name: llama3 pipeline_tag: text-generation tags: - m42 - health - healthcare - clinical-llm inference: false --- # **Med42-v2 - A Suite of Clinically-aligned Large Language Models** Med42-v2 is a suite of open-access clinical large language models (LLM) instruct and preference...
[ "QUESTION_ANSWERING", "SUMMARIZATION" ]
[ "MEDQA" ]
BioNLP
seongil-dn/bge-m3-756
seongil-dn
sentence-similarity
[ "sentence-transformers", "safetensors", "xlm-roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:1138596", "loss:CachedGISTEmbedLoss", "arxiv:1908.10084", "base_model:seongil-dn/unsupervised_20m_3800", "base_model:finetune:seongil-dn/unsupervised_20m_38...
1,741
1,741
12
0
--- base_model: seongil-dn/unsupervised_20m_3800 library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:1138596 - loss:CachedGISTEmbedLoss widget: - source_sentence: How many people were repor...
[ "TEXT_CLASSIFICATION", "TRANSLATION" ]
[ "CRAFT" ]
Non_BioNLP
LoneStriker/OpenBioLLM-Llama3-8B-GGUF
LoneStriker
null
[ "gguf", "llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation", "en", "arxiv:2305.18290", "arxiv:2303.13375", "arxiv:2212.13138", "arxiv:2305.09617", "arxiv:2402.07023", "base_model:meta-llama/Meta-Llama-3-8B", "base_model:quantized...
1,714
1,714
30
1
--- base_model: meta-llama/Meta-Llama-3-8B language: - en license: llama3 tags: - llama-3 - llama - Mixtral - instruct - finetune - chatml - DPO - RLHF - gpt4 - distillation widget: - example_title: OpenBioLLM-8B messages: - role: system content: You are an expert and experienced from the healthcare and biomedi...
[ "QUESTION_ANSWERING" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
medspaner/mdeberta-v3-base-es-trials-misc-ents
medspaner
token-classification
[ "transformers", "pytorch", "deberta-v2", "token-classification", "generated_from_trainer", "arxiv:2111.09543", "license:cc-by-nc-4.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,705
1,727
12
0
--- license: cc-by-nc-4.0 metrics: - precision - recall - f1 - accuracy tags: - generated_from_trainer widget: - text: 'Motivo de consulta: migraña leve. Exploración: Tensión arterial: 120/70 mmHg.' model-index: - name: mdeberta-v3-base-es-trials-misc-ents results: [] --- <!-- This model card has been generated auto...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "SCIELO" ]
BioNLP
carsondial/slinger20241231-3
carsondial
sentence-similarity
[ "sentence-transformers", "safetensors", "bert", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:45000", "loss:MatryoshkaLoss", "loss:MultipleNegativesRankingLoss", "en", "arxiv:1908.10084", "arxiv:2205.13147", "arxiv:1705.00652", "base_model:BAAI/bge-ba...
1,735
1,735
6
0
--- base_model: BAAI/bge-base-en-v1.5 language: - en library_name: sentence-transformers license: apache-2.0 metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 ...
[ "TEXT_CLASSIFICATION" ]
[ "CRAFT" ]
Non_BioNLP
StivenLancheros/Roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_en_es
StivenLancheros
token-classification
[ "transformers", "pytorch", "tensorboard", "roberta", "token-classification", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,647
1,647
115
0
--- license: apache-2.0 metrics: - precision - recall - f1 - accuracy tags: - generated_from_trainer model-index: - name: Roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_en_es results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You sho...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "CRAFT" ]
BioNLP
bobox/DeBERTa-small-ST-v1-test-step2
bobox
sentence-similarity
[ "sentence-transformers", "pytorch", "deberta-v2", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:305010", "loss:CachedGISTEmbedLoss", "en", "dataset:jinaai/negation-dataset-v2", "dataset:tals/vitaminc", "dataset:allenai/scitail", "dataset:allenai/sciq", ...
1,724
1,724
7
0
--- base_model: bobox/DeBERTa-small-ST-v1-test datasets: - jinaai/negation-dataset-v2 - tals/vitaminc - allenai/scitail - allenai/sciq - allenai/qasc - sentence-transformers/msmarco-msmarco-distilbert-base-v3 - sentence-transformers/natural-questions - sentence-transformers/trivia-qa - sentence-transformers/gooaq - goo...
[ "TEXT_CLASSIFICATION", "SEMANTIC_SIMILARITY" ]
[ "MEDAL", "SCIQ", "SCITAIL" ]
Non_BioNLP
RichardErkhov/aaditya_-_Llama3-OpenBioLLM-8B-8bits
RichardErkhov
text-generation
[ "transformers", "safetensors", "llama", "text-generation", "arxiv:2305.18290", "arxiv:2303.13375", "arxiv:2212.13138", "arxiv:2305.09617", "arxiv:2402.07023", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "8-bit", "bitsandbytes", "region:us" ]
1,714
1,714
16
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Llama3-OpenBioLLM-8B - bnb 8bits - Model creator: https://huggingface.co/aaditya/ - Original model: https://huggi...
[ "QUESTION_ANSWERING" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
KeyurRamoliya/e5-large-v2-GGUF
KeyurRamoliya
sentence-similarity
[ "sentence-transformers", "gguf", "mteb", "Sentence Transformers", "sentence-similarity", "llama-cpp", "gguf-my-repo", "en", "base_model:intfloat/e5-large-v2", "base_model:quantized:intfloat/e5-large-v2", "license:mit", "model-index", "autotrain_compatible", "endpoints_compatible", "regio...
1,724
1,724
12
0
--- base_model: intfloat/e5-large-v2 language: - en license: mit tags: - mteb - Sentence Transformers - sentence-similarity - sentence-transformers - llama-cpp - gguf-my-repo model-index: - name: e5-large-v2 results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
michaelfeil/ct2fast-jina-embedding-s-en-v1
michaelfeil
sentence-similarity
[ "transformers", "t5", "feature-extraction", "ctranslate2", "int8", "float16 - finetuner - mteb - sentence-transformers - feature-extraction - sentence-similarity", "sentence-similarity", "custom_code", "en", "dataset:jinaai/negation-dataset", "arxiv:2307.11224", "license:apache-2.0", "model-...
1,697
1,697
4
0
--- datasets: - jinaai/negation-dataset language: en license: apache-2.0 pipeline_tag: sentence-similarity tags: - ctranslate2 - int8 - float16 - finetuner - mteb - sentence-transformers - feature-extraction - sentence-similarity model-index: - name: jina-embedding-s-en-v1 results: - task: type: Classificatio...
[ "SUMMARIZATION" ]
[ "BIOSSES", "LINNAEUS", "SCIFACT" ]
Non_BioNLP
pruas/BENT-PubMedBERT-NER-Organism
pruas
token-classification
[ "transformers", "pytorch", "bert", "token-classification", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,673
1,709
32
3
--- language: - en license: apache-2.0 pipeline_tag: token-classification --- Named Entity Recognition (NER) model to recognize organism entities. Please cite our work: ``` @article{NILNKER2022, title = {NILINKER: Attention-based approach to NIL Entity Linking}, journal = {Journal of Biomedical Informatics}, v...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "CRAFT", "CELLFINDER", "LINNAEUS", "MLEE", "MIRNA" ]
BioNLP
RichardErkhov/ricepaper_-_vi-gemma-2b-RAG-awq
RichardErkhov
null
[ "safetensors", "gemma", "4-bit", "awq", "region:us" ]
1,733
1,733
4
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) vi-gemma-2b-RAG - AWQ - Model creator: https://huggingface.co/ricepaper/ - Original model: https://huggingface.co...
[ "QUESTION_ANSWERING", "TRANSLATION", "SUMMARIZATION" ]
[ "CHIA" ]
Non_BioNLP
RichardErkhov/EleutherAI_-_pythia-2.8b-deduped-v0-4bits
RichardErkhov
text-generation
[ "transformers", "safetensors", "gpt_neox", "text-generation", "arxiv:2101.00027", "arxiv:2201.07311", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "4-bit", "bitsandbytes", "region:us" ]
1,713
1,713
4
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) pythia-2.8b-deduped-v0 - bnb 4bits - Model creator: https://huggingface.co/EleutherAI/ - Original model: https://...
[ "QUESTION_ANSWERING", "TRANSLATION" ]
[ "SCIQ" ]
Non_BioNLP
walsons/jina-embeddings-v2-base-en-Q4_K_M-GGUF
walsons
feature-extraction
[ "sentence-transformers", "gguf", "feature-extraction", "sentence-similarity", "mteb", "llama-cpp", "gguf-my-repo", "en", "dataset:allenai/c4", "base_model:jinaai/jina-embeddings-v2-base-en", "base_model:quantized:jinaai/jina-embeddings-v2-base-en", "license:apache-2.0", "model-index", "aut...
1,722
1,722
15
0
--- base_model: jinaai/jina-embeddings-v2-base-en datasets: - allenai/c4 language: en license: apache-2.0 tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb - llama-cpp - gguf-my-repo inference: false model-index: - name: jina-embedding-b-en-v2 results: - task: type: Classificatio...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
KarBik/legal-french-matroshka
KarBik
sentence-similarity
[ "sentence-transformers", "safetensors", "xlm-roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:9000", "loss:MatryoshkaLoss", "loss:MultipleNegativesRankingLoss", "arxiv:1908.10084", "arxiv:2205.13147", "arxiv:1705.00652", "base_model:intfloat/mult...
1,728
1,728
6
0
--- base_model: intfloat/multilingual-e5-base library_name: sentence-transformers metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5 - cosine_...
[ "TEXT_CLASSIFICATION" ]
[ "CAS" ]
Non_BioNLP
medspaner/mbert-base-clinical-trials-attributes
medspaner
null
[ "pytorch", "bert", "generated_from_trainer", "license:cc-by-nc-4.0", "region:us" ]
1,726
1,727
7
0
--- license: cc-by-nc-4.0 metrics: - precision - recall - f1 - accuracy tags: - generated_from_trainer widget: - text: Paciente normotenso (PA = 120/70 mmHg) model-index: - name: mbert-base-clinical-trials-attributes results: [] --- <!-- This model card has been generated automatically according to the information t...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "CT-EBM-SP", "SCIELO" ]
BioNLP
am-azadi/bilingual-embedding-large_Fine_Tuned_2e
am-azadi
sentence-similarity
[ "sentence-transformers", "safetensors", "bilingual", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:21769", "loss:MultipleNegativesRankingLoss", "custom_code", "arxiv:1908.10084", "arxiv:1705.00652", "base_model:am-azadi/bilingual-embedding-large_Fine_Tune...
1,740
1,740
7
0
--- base_model: am-azadi/bilingual-embedding-large_Fine_Tuned_1e library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:21769 - loss:MultipleNegativesRankingLoss widget: - source_sentence: 'GO...
[ "TEXT_CLASSIFICATION" ]
[ "PCR" ]
Non_BioNLP
huizhang0110/hui-embedding
huizhang0110
null
[ "mteb", "model-index", "region:us" ]
1,705
1,732
0
0
--- tags: - mteb model-index: - name: no_model_name_available results: - task: type: STS dataset: name: MTEB STS22 (en) type: mteb/sts22-crosslingual-sts config: en split: test revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 metrics: - type: cosine_pearson va...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
espnet/iwslt24_indic_en_bn_bpe_tc4000
espnet
null
[ "espnet", "audio", "speech-translation", "en", "bn", "dataset:iwslt24_indic", "arxiv:1804.00015", "license:cc-by-4.0", "region:us" ]
1,713
1,713
0
0
--- datasets: - iwslt24_indic language: - en - bn license: cc-by-4.0 tags: - espnet - audio - speech-translation --- ## ESPnet2 ST model ### `espnet/iwslt24_indic_en_bn_bpe_tc4000` This model was trained by cromz22 using iwslt24_indic recipe in [espnet](https://github.com/espnet/espnet/). ### Demo: How to use in ES...
[ "TRANSLATION" ]
[ "CRAFT" ]
Non_BioNLP
thenlper/gte-large
thenlper
sentence-similarity
[ "sentence-transformers", "pytorch", "onnx", "safetensors", "openvino", "bert", "mteb", "sentence-similarity", "Sentence Transformers", "en", "arxiv:2308.03281", "license:mit", "model-index", "autotrain_compatible", "text-embeddings-inference", "endpoints_compatible", "region:us" ]
1,690
1,731
460,453
272
--- language: - en license: mit tags: - mteb - sentence-similarity - sentence-transformers - Sentence Transformers model-index: - name: gte-large results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/amazon_counterfactual config: en ...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
sschet/bert-base-uncased_clinical-ner
sschet
token-classification
[ "transformers", "pytorch", "tf", "jax", "bert", "token-classification", "dataset:tner/bc5cdr", "dataset:commanderstrife/jnlpba", "dataset:bc2gm_corpus", "dataset:drAbreu/bc4chemd_ner", "dataset:linnaeus", "dataset:chintagunta85/ncbi_disease", "autotrain_compatible", "endpoints_compatible",...
1,674
1,675
124
5
--- datasets: - tner/bc5cdr - commanderstrife/jnlpba - bc2gm_corpus - drAbreu/bc4chemd_ner - linnaeus - chintagunta85/ncbi_disease --- A Named Entity Recognition model for clinical entities (`problem`, `treatment`, `test`) The model has been trained on the [i2b2 (now n2c2) dataset](https://n2c2.dbmi.hms.harvard.edu) f...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "BC5CDR", "JNLPBA", "LINNAEUS", "NCBI DISEASE" ]
BioNLP
adriansanz/stsitgesreranking
adriansanz
text-classification
[ "setfit", "safetensors", "bert", "sentence-transformers", "text-classification", "generated_from_setfit_trainer", "arxiv:2209.11055", "base_model:cross-encoder/ms-marco-MiniLM-L-4-v2", "base_model:finetune:cross-encoder/ms-marco-MiniLM-L-4-v2", "model-index", "region:us" ]
1,724
1,724
4
0
--- base_model: cross-encoder/ms-marco-MiniLM-L-4-v2 library_name: setfit metrics: - accuracy pipeline_tag: text-classification tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer widget: - text: He de prendre la decisió de renunciar a una subvenció que no es pot ajustar als...
[ "TEXT_CLASSIFICATION" ]
[ "CAS" ]
Non_BioNLP
Muennighoff/SGPT-125M-weightedmean-nli-bitfit
Muennighoff
sentence-similarity
[ "sentence-transformers", "pytorch", "gpt_neo", "feature-extraction", "sentence-similarity", "mteb", "arxiv:2202.08904", "model-index", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,646
1,685
327
3
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb model-index: - name: SGPT-125M-weightedmean-nli-bitfit results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/amazon_count...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
fresha/e5-large-v2-endpoint
fresha
feature-extraction
[ "transformers", "pytorch", "safetensors", "bert", "feature-extraction", "mteb", "en", "arxiv:2212.03533", "arxiv:2104.08663", "arxiv:2210.07316", "license:mit", "model-index", "text-embeddings-inference", "endpoints_compatible", "region:us" ]
1,687
1,687
29
0
--- language: - en license: mit tags: - mteb model-index: - name: e5-large-v2 results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/amazon_counterfactual config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
pszemraj/long-t5-tglobal-base-16384-booksci-summary-v1
pszemraj
summarization
[ "transformers", "pytorch", "onnx", "safetensors", "longt5", "text2text-generation", "generated_from_trainer", "lay summary", "narrative", "biomedical", "long document summary", "summarization", "en", "dataset:pszemraj/scientific_lay_summarisation-elife-norm", "base_model:pszemraj/long-t5...
1,680
1,696
36
2
--- base_model: pszemraj/long-t5-tglobal-base-16384-book-summary datasets: - pszemraj/scientific_lay_summarisation-elife-norm language: - en library_name: transformers license: - bsd-3-clause - apache-2.0 metrics: - rouge pipeline_tag: summarization tags: - generated_from_trainer - lay summary - narrative - biomedical ...
[ "QUESTION_ANSWERING", "SUMMARIZATION" ]
[ "BEAR" ]
Non_BioNLP
ymelka/camembert-cosmetic-similarity-cp1200
ymelka
sentence-similarity
[ "sentence-transformers", "safetensors", "camembert", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:5000", "loss:CoSENTLoss", "arxiv:1908.10084", "base_model:ymelka/camembert-cosmetic-finetuned", "base_model:finetune:ymelka/camembert-cosmetic-finetuned", "...
1,718
1,718
9
1
--- base_model: ymelka/camembert-cosmetic-finetuned datasets: [] language: [] library_name: sentence-transformers metrics: - pearson_cosine - spearman_cosine - pearson_manhattan - spearman_manhattan - pearson_euclidean - spearman_euclidean - pearson_dot - spearman_dot - pearson_max - spearman_max pipeline_tag: sentence...
[ "TEXT_CLASSIFICATION", "SEMANTIC_SIMILARITY" ]
[ "CAS" ]
Non_BioNLP
adriansanz/ST-tramits-SB-003-5ep
adriansanz
sentence-similarity
[ "sentence-transformers", "safetensors", "xlm-roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:2884", "loss:MatryoshkaLoss", "loss:MultipleNegativesRankingLoss", "arxiv:1908.10084", "arxiv:2205.13147", "arxiv:1705.00652", "base_model:BAAI/bge-m3",...
1,729
1,729
6
0
--- base_model: BAAI/bge-m3 library_name: sentence-transformers metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5 - cosine_recall@10 - cosine...
[ "TEXT_CLASSIFICATION" ]
[ "CAS" ]
Non_BioNLP
LeroyDyer/LCARS_AI_StarTrek_Computer
LeroyDyer
text2text-generation
[ "transformers", "safetensors", "mistral", "text-generation", "LCARS", "Star-Trek", "128k-Context", "chemistry", "biology", "finance", "legal", "art", "code", "medical", "text-generation-inference", "text2text-generation", "en", "license:mit", "autotrain_compatible", "endpoints_...
1,715
1,729
83
4
--- language: - en library_name: transformers license: mit pipeline_tag: text2text-generation tags: - LCARS - Star-Trek - 128k-Context - mistral - chemistry - biology - finance - legal - art - code - medical - text-generation-inference --- If anybody has star trek data please send as this starship computer database arc...
[ "TRANSLATION" ]
[ "MEDICAL DATA" ]
Non_BioNLP
zbrunner/hallucination_noisetag
zbrunner
automatic-speech-recognition
[ "espnet", "audio", "automatic-speech-recognition", "en", "dataset:tedlium3", "arxiv:1804.00015", "license:cc-by-4.0", "region:us" ]
1,726
1,726
2
0
--- datasets: - tedlium3 language: en license: cc-by-4.0 tags: - espnet - audio - automatic-speech-recognition --- ## ESPnet2 ASR model ### `zbrunner/hallucination_noisetag` This model was trained by zbrunner using tedlium3 recipe in [espnet](https://github.com/espnet/espnet/). ### Demo: How to use in ESPnet2 Foll...
[ "TRANSLATION" ]
[ "BEAR", "CRAFT", "MEDAL" ]
Non_BioNLP
intfloat/multilingual-e5-base
intfloat
sentence-similarity
[ "sentence-transformers", "pytorch", "onnx", "safetensors", "openvino", "xlm-roberta", "mteb", "Sentence Transformers", "sentence-similarity", "multilingual", "af", "am", "ar", "as", "az", "be", "bg", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "e...
1,684
1,739
578,159
263
--- language: - multilingual - af - am - ar - as - az - be - bg - bn - br - bs - ca - cs - cy - da - de - el - en - eo - es - et - eu - fa - fi - fr - fy - ga - gd - gl - gu - ha - he - hi - hr - hu - hy - id - is - it - ja - jv - ka - kk - km - kn - ko - ku - ky - la - lo - lt - lv - mg - mk - ml - mn - mr - ms - my -...
[ "SEMANTIC_SIMILARITY", "TRANSLATION", "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
Amir13/bert-base-parsbert-uncased-ncbi_disease
Amir13
token-classification
[ "transformers", "pytorch", "bert", "token-classification", "generated_from_trainer", "arxiv:2302.09611", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,676
1,676
26
0
--- metrics: - precision - recall - f1 - accuracy tags: - generated_from_trainer model-index: - name: bert-base-parsbert-uncased-ncbi_disease results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ "TRANSLATION" ]
[ "NCBI DISEASE" ]
BioNLP
croissantllm/base_125k
croissantllm
text2text-generation
[ "transformers", "pytorch", "llama", "text-generation", "legal", "code", "text-generation-inference", "art", "text2text-generation", "fr", "en", "dataset:cerebras/SlimPajama-627B", "dataset:uonlp/CulturaX", "dataset:pg19", "dataset:bigcode/starcoderdata", "license:mit", "autotrain_com...
1,705
1,706
6
0
--- datasets: - cerebras/SlimPajama-627B - uonlp/CulturaX - pg19 - bigcode/starcoderdata language: - fr - en license: mit pipeline_tag: text2text-generation tags: - legal - code - text-generation-inference - art --- # CroissantLLM - Base (125k steps) This model is part of the CroissantLLM initiative, and corresponds ...
[ "TRANSLATION" ]
[ "CRAFT" ]
Non_BioNLP
Teradata/multilingual-e5-small
Teradata
sentence-similarity
[ "onnx", "mteb", "Sentence Transformers", "sentence-similarity", "teradata", "multilingual", "af", "am", "ar", "as", "az", "be", "bg", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gd"...
1,739
1,741
11
0
--- language: - multilingual - af - am - ar - as - az - be - bg - bn - br - bs - ca - cs - cy - da - de - el - en - eo - es - et - eu - fa - fi - fr - fy - ga - gd - gl - gu - ha - he - hi - hr - hu - hy - id - is - it - ja - jv - ka - kk - km - kn - ko - ku - ky - la - lo - lt - lv - mg - mk - ml - mn - mr - ms - my -...
[ "SEMANTIC_SIMILARITY", "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF
nadeem1362
feature-extraction
[ "sentence-transformers", "gguf", "mteb", "transformers.js", "transformers", "llama-cpp", "gguf-my-repo", "feature-extraction", "en", "license:apache-2.0", "model-index", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,716
1,716
17
0
--- language: - en library_name: sentence-transformers license: apache-2.0 pipeline_tag: feature-extraction tags: - mteb - transformers.js - transformers - llama-cpp - gguf-my-repo model-index: - name: mxbai-angle-large-v1 results: - task: type: Classification dataset: name: MTEB AmazonCounterfactua...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
Dampish/StellarX-4B-V0.2
Dampish
text-generation
[ "transformers", "pytorch", "gpt_neox", "text-generation", "arxiv:2204.06745", "license:cc-by-nc-sa-4.0", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]
1,685
1,695
2,264
2
--- license: cc-by-nc-sa-4.0 --- # StellarX: A Base Model by Dampish and Arkane StellarX is a powerful autoregressive language model designed for various natural language processing tasks. It has been trained on a massive dataset containing 810 billion tokens(trained on 300B tokens), trained on "redpajama," and is bui...
[ "TRANSLATION" ]
[ "SCIQ" ]
Non_BioNLP
RichardErkhov/himmeow_-_vi-gemma-2b-RAG-gguf
RichardErkhov
null
[ "gguf", "endpoints_compatible", "region:us", "conversational" ]
1,721
1,721
32
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) vi-gemma-2b-RAG - GGUF - Model creator: https://huggingface.co/himmeow/ - Original model: https://huggingface.co/...
[ "QUESTION_ANSWERING", "TRANSLATION", "SUMMARIZATION" ]
[ "CHIA" ]
Non_BioNLP
mradermacher/HiTZ-GoLLIE-13B-AsSafeTensors-i1-GGUF
mradermacher
null
[ "transformers", "gguf", "code", "text-generation-inference", "Information Extraction", "IE", "Named Entity Recogniton", "Event Extraction", "Relation Extraction", "LLaMA", "en", "dataset:ACE05", "dataset:bc5cdr", "dataset:conll2003", "dataset:ncbi_disease", "dataset:conll2012_ontonotes...
1,740
1,740
949
1
--- base_model: KaraKaraWitch/HiTZ-GoLLIE-13B-AsSafeTensors datasets: - ACE05 - bc5cdr - conll2003 - ncbi_disease - conll2012_ontonotesv5 - rams - tacred - wnut_17 language: - en library_name: transformers license: llama2 tags: - code - text-generation-inference - Information Extraction - IE - Named Entity Recogniton -...
[ "RELATION_EXTRACTION", "EVENT_EXTRACTION" ]
[ "BC5CDR", "NCBI DISEASE" ]
Non_BioNLP
fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-74504128
fine-tuned
feature-extraction
[ "sentence-transformers", "safetensors", "xlm-roberta", "feature-extraction", "sentence-similarity", "mteb", "en", "dataset:fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-74504128", "dataset:allenai/c4", "license:apache-2.0", "autotrain_compatible", "text-embeddings-inference", "endpoints_compa...
1,716
1,716
6
0
--- datasets: - fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-74504128 - allenai/c4 language: - en - en license: apache-2.0 pipeline_tag: feature-extraction tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb --- This model is a fine-tuned version of [**BAAI/bge-m3**](https://huggingface.co/B...
[ "TEXT_CLASSIFICATION" ]
[ "SCIFACT" ]
Non_BioNLP
microsoft/prophetnet-large-uncased-cnndm
microsoft
text2text-generation
[ "transformers", "pytorch", "rust", "prophetnet", "text2text-generation", "en", "dataset:cnn_dailymail", "arxiv:2001.04063", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,646
1,674
965
2
--- datasets: - cnn_dailymail language: en --- ## prophetnet-large-uncased-cnndm Fine-tuned weights(converted from [original fairseq version repo](https://github.com/microsoft/ProphetNet)) for [ProphetNet](https://arxiv.org/abs/2001.04063) on summarization task CNN/DailyMail. ProphetNet is a new pre-trained language...
[ "SUMMARIZATION" ]
[ "CAS" ]
Non_BioNLP
EleutherAI/pythia-1b
EleutherAI
text-generation
[ "transformers", "pytorch", "safetensors", "gpt_neox", "text-generation", "causal-lm", "pythia", "en", "dataset:the_pile", "arxiv:2304.01373", "arxiv:2101.00027", "arxiv:2201.07311", "license:apache-2.0", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "re...
1,678
1,688
64,849
37
--- datasets: - the_pile language: - en license: apache-2.0 tags: - pytorch - causal-lm - pythia --- The *Pythia Scaling Suite* is a collection of models developed to facilitate interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf). It contains two sets of eight models of sizes 70M, 160M, 41...
[ "QUESTION_ANSWERING", "TRANSLATION" ]
[ "SCIQ" ]
Non_BioNLP
blockblockblock/Dark-Miqu-70B-bpw6-exl2
blockblockblock
text-generation
[ "transformers", "safetensors", "llama", "text-generation", "arxiv:2403.19522", "license:other", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "6-bit", "exl2", "region:us" ]
1,715
1,715
10
0
--- license: other --- ![Dark-Miqu.png](Dark-Miqu.png) ***NOTE***: *For a full range of GGUF quants kindly provided by @mradermacher: [Static](https://huggingface.co/mradermacher/Dark-Miqu-70B-GGUF) and [IMatrix](https://huggingface.co/mradermacher/Dark-Miqu-70B-i1-GGUF).* A "dark" creative writing model with 32k co...
[ "TRANSLATION" ]
[ "BEAR" ]
Non_BioNLP
Backedman/TriviaAnsweringMachine
Backedman
question-answering
[ "transformers", "TFIDF-QA", "question-answering", "custom_code", "en", "license:mit", "region:us" ]
1,715
1,715
5
0
--- language: - en license: mit pipeline_tag: question-answering --- The evaluation of this project is to answer trivia questions. You do not need to do well at this task, but you should submit a system that completes the task or create adversarial questions in that setting. This will help the whole class share data ...
[ "TRANSLATION" ]
[ "MEDAL" ]
Non_BioNLP
TheBloke/med42-70B-AWQ
TheBloke
text-generation
[ "transformers", "safetensors", "llama", "text-generation", "m42", "health", "healthcare", "clinical-llm", "en", "base_model:m42-health/med42-70b", "base_model:quantized:m42-health/med42-70b", "license:other", "autotrain_compatible", "text-generation-inference", "4-bit", "awq", "regio...
1,698
1,699
449
2
--- base_model: m42-health/med42-70b language: - en license: other license_name: med42 model_name: Med42 70B pipeline_tag: text-generation tags: - m42 - health - healthcare - clinical-llm inference: false model_creator: M42 Health model_type: llama prompt_template: '<|system|>: You are a helpful medical assistant creat...
[ "QUESTION_ANSWERING", "SUMMARIZATION" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
AdaptLLM/finance-LLM
AdaptLLM
text-generation
[ "transformers", "pytorch", "safetensors", "llama", "text-generation", "finance", "en", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "arxiv:2309.09530", "arxiv:2411.19930", "arxiv:2406.14491", "autotrain_compatible", "text-generatio...
1,695
1,733
665
118
--- datasets: - Open-Orca/OpenOrca - GAIR/lima - WizardLM/WizardLM_evol_instruct_V2_196k language: - en metrics: - accuracy pipeline_tag: text-generation tags: - finance --- # Adapting LLMs to Domains via Continual Pre-Training (ICLR 2024) This repo contains the domain-specific base model developed from **LLaMA-1-7B**...
[ "QUESTION_ANSWERING" ]
[ "CHEMPROT" ]
Non_BioNLP
tsirif/BinGSE-Meta-Llama-3-8B-Instruct
tsirif
sentence-similarity
[ "peft", "safetensors", "text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sentence Similarity", "natu...
1,729
1,729
14
0
--- language: - en library_name: peft license: mit pipeline_tag: sentence-similarity tags: - text-embedding - embeddings - information-retrieval - beir - text-classification - language-model - text-clustering - text-semantic-similarity - text-evaluation - text-reranking - feature-extraction - sentence-similarity - Sent...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
yishan-wang/snowflake-arctic-embed-m-v1.5-Q8_0-GGUF
yishan-wang
sentence-similarity
[ "sentence-transformers", "gguf", "feature-extraction", "sentence-similarity", "mteb", "arctic", "snowflake-arctic-embed", "transformers.js", "llama-cpp", "gguf-my-repo", "base_model:Snowflake/snowflake-arctic-embed-m-v1.5", "base_model:quantized:Snowflake/snowflake-arctic-embed-m-v1.5", "lic...
1,723
1,723
19
0
--- base_model: Snowflake/snowflake-arctic-embed-m-v1.5 license: apache-2.0 pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb - arctic - snowflake-arctic-embed - transformers.js - llama-cpp - gguf-my-repo model-index: - name: snowflake-arctic-embed-m-v1.5 ...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
sschet/scibert_scivocab_uncased-finetuned-ner
sschet
token-classification
[ "transformers", "pytorch", "bert", "token-classification", "Named Entity Recognition", "SciBERT", "Adverse Effect", "Drug", "Medical", "en", "dataset:ade_corpus_v2", "dataset:tner/bc5cdr", "dataset:commanderstrife/jnlpba", "dataset:bc2gm_corpus", "dataset:drAbreu/bc4chemd_ner", "datase...
1,675
1,675
152
0
--- datasets: - ade_corpus_v2 - tner/bc5cdr - commanderstrife/jnlpba - bc2gm_corpus - drAbreu/bc4chemd_ner - linnaeus - chintagunta85/ncbi_disease language: - en tags: - Named Entity Recognition - SciBERT - Adverse Effect - Drug - Medical widget: - text: Abortion, miscarriage or uterine hemorrhage associated with misop...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "BC5CDR", "JNLPBA", "LINNAEUS", "NCBI DISEASE" ]
BioNLP
LXC1999/gte-Qwen2-7B-instruct-Q4_K_M-GGUF
LXC1999
sentence-similarity
[ "sentence-transformers", "gguf", "mteb", "transformers", "Qwen2", "sentence-similarity", "llama-cpp", "gguf-my-repo", "base_model:Alibaba-NLP/gte-Qwen2-7B-instruct", "base_model:quantized:Alibaba-NLP/gte-Qwen2-7B-instruct", "license:apache-2.0", "model-index", "autotrain_compatible", "endp...
1,739
1,739
9
0
--- base_model: Alibaba-NLP/gte-Qwen2-7B-instruct license: apache-2.0 tags: - mteb - sentence-transformers - transformers - Qwen2 - sentence-similarity - llama-cpp - gguf-my-repo model-index: - name: gte-qwen2-7B-instruct results: - task: type: Classification dataset: name: MTEB AmazonCounterfactual...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
RichardErkhov/EleutherAI_-_pythia-160m-deduped-v0-8bits
RichardErkhov
text-generation
[ "transformers", "safetensors", "gpt_neox", "text-generation", "arxiv:2101.00027", "arxiv:2201.07311", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "8-bit", "bitsandbytes", "region:us" ]
1,713
1,713
10
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) pythia-160m-deduped-v0 - bnb 8bits - Model creator: https://huggingface.co/EleutherAI/ - Original model: https://...
[ "QUESTION_ANSWERING", "TRANSLATION" ]
[ "SCIQ" ]
Non_BioNLP
pankajrajdeo/UMLS-ED-Bioformer-8L-V-1.25
pankajrajdeo
sentence-similarity
[ "sentence-transformers", "safetensors", "bert", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:187491593", "loss:CustomTripletLoss", "arxiv:1908.10084", "arxiv:1703.07737", "base_model:pankajrajdeo/UMLS-ED-Bioformer-8L-V-1", "base_model:finetune:pankajrajd...
1,733
1,736
24
0
--- base_model: - pankajrajdeo/UMLS-ED-Bioformer-8L-V-1 library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:187491593 - loss:CustomTripletLoss widget: - source_sentence: Hylocharis xantusii...
[ "TEXT_CLASSIFICATION" ]
[ "PCR" ]
BioNLP
RomainDarous/large_directOneEpoch_additivePooling_randomInit_mistranslationModel
RomainDarous
sentence-similarity
[ "sentence-transformers", "safetensors", "xlm-roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:4460010", "loss:CoSENTLoss", "dataset:RomainDarous/corrupted_os_by_language", "arxiv:1908.10084", "base_model:sentence-transformers/paraphrase-multilingual-...
1,739
1,739
25
0
--- base_model: sentence-transformers/paraphrase-multilingual-mpnet-base-v2 datasets: - RomainDarous/corrupted_os_by_language library_name: sentence-transformers metrics: - pearson_cosine - spearman_cosine pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - gener...
[ "TEXT_CLASSIFICATION", "SEMANTIC_SIMILARITY", "TRANSLATION" ]
[ "CAS" ]
Non_BioNLP
RichardErkhov/Alibaba-NLP_-_gte-Qwen2-7B-instruct-4bits
RichardErkhov
null
[ "safetensors", "qwen2", "custom_code", "arxiv:2308.03281", "4-bit", "bitsandbytes", "region:us" ]
1,731
1,731
4
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) gte-Qwen2-7B-instruct - bnb 4bits - Model creator: https://huggingface.co/Alibaba-NLP/ - Original model: https://...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
croissantllm/base_185k
croissantllm
text2text-generation
[ "transformers", "pytorch", "llama", "text-generation", "legal", "code", "text-generation-inference", "art", "text2text-generation", "fr", "en", "dataset:cerebras/SlimPajama-627B", "dataset:uonlp/CulturaX", "dataset:pg19", "dataset:bigcode/starcoderdata", "license:mit", "autotrain_com...
1,704
1,706
5
0
--- datasets: - cerebras/SlimPajama-627B - uonlp/CulturaX - pg19 - bigcode/starcoderdata language: - fr - en license: mit pipeline_tag: text2text-generation tags: - legal - code - text-generation-inference - art --- # CroissantLLM - Base (185k steps) This model is part of the CroissantLLM initiative, and corresponds ...
[ "TRANSLATION" ]
[ "CRAFT" ]
Non_BioNLP
espnet/pengcheng_aishell_asr_train_asr_whisper_medium_finetune_raw_zh_whisper_multilingual_sp
espnet
automatic-speech-recognition
[ "espnet", "audio", "automatic-speech-recognition", "zh", "dataset:aishell", "arxiv:1804.00015", "license:cc-by-4.0", "region:us" ]
1,690
1,690
1
1
--- datasets: - aishell language: zh license: cc-by-4.0 tags: - espnet - audio - automatic-speech-recognition --- ## ESPnet2 ASR model ### `espnet/pengcheng_aishell_asr_train_asr_whisper_medium_finetune_raw_zh_whisper_multilingual_sp` This model was trained by Pengcheng Guo using aishell recipe in [espnet](https://g...
[ "TRANSLATION" ]
[ "BEAR", "CAS", "CHIA", "CRAFT", "GAD", "MEDAL", "PCR" ]
TBD
twadada/fasttext
twadada
null
[ "mteb", "model-index", "region:us" ]
1,725
1,725
0
0
--- tags: - mteb model-index: - name: fasttext_main results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: None config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy v...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
Sci-fi-vy/Meditron-7b-finetuned
Sci-fi-vy
image-text-to-text
[ "transformers", "pytorch", "safetensors", "llama", "text-generation", "image-text-to-text", "en", "dataset:epfl-llm/guidelines", "arxiv:2311.16079", "base_model:meta-llama/Llama-2-7b", "base_model:finetune:meta-llama/Llama-2-7b", "license:llama2", "autotrain_compatible", "text-generation-i...
1,737
1,737
78
1
--- base_model: meta-llama/Llama-2-7b datasets: - epfl-llm/guidelines language: - en library_name: transformers license: llama2 metrics: - accuracy - perplexity pipeline_tag: image-text-to-text --- # Model Card for Meditron-7B-finetuned Meditron is a suite of open-source medical Large Language Models (LLMs). Meditron-...
[ "QUESTION_ANSWERING" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
adriansanz/ST-tramits-SITGES-007-5ep
adriansanz
sentence-similarity
[ "sentence-transformers", "safetensors", "xlm-roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:6692", "loss:MatryoshkaLoss", "loss:MultipleNegativesRankingLoss", "arxiv:1908.10084", "arxiv:2205.13147", "arxiv:1705.00652", "base_model:BAAI/bge-m3",...
1,728
1,728
4
0
--- base_model: BAAI/bge-m3 library_name: sentence-transformers metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5 - cosine_recall@10 - cosine...
[ "TEXT_CLASSIFICATION" ]
[ "CAS" ]
Non_BioNLP
BAAI/bge-small-en
BAAI
feature-extraction
[ "transformers", "pytorch", "safetensors", "bert", "feature-extraction", "mteb", "sentence transformers", "en", "arxiv:2311.13534", "arxiv:2310.07554", "arxiv:2309.07597", "license:mit", "model-index", "text-embeddings-inference", "endpoints_compatible", "region:us" ]
1,691
1,702
419,855
74
--- language: - en license: mit tags: - mteb - sentence transformers model-index: - name: bge-small-en results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/amazon_counterfactual config: en split: test revision: e8379541a...
[ "SEMANTIC_SIMILARITY", "SUMMARIZATION" ]
[ "BEAR", "BIOSSES", "SCIFACT" ]
Non_BioNLP
adriansanz/fs_setfit_hybrid2
adriansanz
text-classification
[ "setfit", "safetensors", "xlm-roberta", "sentence-transformers", "text-classification", "generated_from_setfit_trainer", "arxiv:2209.11055", "base_model:projecte-aina/ST-NLI-ca_paraphrase-multilingual-mpnet-base", "base_model:finetune:projecte-aina/ST-NLI-ca_paraphrase-multilingual-mpnet-base", "m...
1,717
1,717
7
0
--- base_model: projecte-aina/ST-NLI-ca_paraphrase-multilingual-mpnet-base library_name: setfit metrics: - accuracy pipeline_tag: text-classification tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer widget: - text: Estic preocupat per la falta de legislació i regulació adequa...
[ "TEXT_CLASSIFICATION" ]
[ "CAS" ]
Non_BioNLP
svorwerk/setfit-fine-tuned-demo-class
svorwerk
text-classification
[ "setfit", "safetensors", "mpnet", "sentence-transformers", "text-classification", "generated_from_setfit_trainer", "arxiv:2209.11055", "base_model:sentence-transformers/all-mpnet-base-v2", "base_model:finetune:sentence-transformers/all-mpnet-base-v2", "region:us" ]
1,706
1,706
6
0
--- base_model: sentence-transformers/all-mpnet-base-v2 library_name: setfit metrics: - accuracy pipeline_tag: text-classification tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer widget: - text: 'Acquisition Id: ALOG; Ancotel; Asia Tone; Bit-Isle; IXEurope; Infomart; Itconic...
[ "TEXT_CLASSIFICATION", "TRANSLATION" ]
[ "CHIA", "MIRNA" ]
Non_BioNLP
FINGU-AI/FingUEm_V3
FINGU-AI
sentence-similarity
[ "sentence-transformers", "safetensors", "qwen2", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:245133", "loss:MultipleNegativesRankingLoss", "loss:MultipleNegativesSymmetricRankingLoss", "loss:CoSENTLoss", "custom_code", "arxiv:1908.10084", "arxiv:1705....
1,720
1,721
6
3
--- base_model: Alibaba-NLP/gte-Qwen2-1.5B-instruct datasets: [] language: [] library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:245133 - loss:MultipleNegativesRankingLoss - loss:MultipleN...
[ "TEXT_CLASSIFICATION" ]
[ "CAS" ]
Non_BioNLP
minishlab/potion-retrieval-32M
minishlab
null
[ "model2vec", "onnx", "safetensors", "embeddings", "static-embeddings", "sentence-transformers", "license:mit", "region:us" ]
1,737
1,738
3,271
17
--- library_name: model2vec license: mit model_name: potion-retrieval-32M tags: - embeddings - static-embeddings - sentence-transformers --- # potion-retrieval-32M Model Card <div align="center"> <img width="35%" alt="Model2Vec logo" src="https://raw.githubusercontent.com/MinishLab/model2vec/main/assets/images/lo...
[ "SUMMARIZATION" ]
[ "PUBMEDQA" ]
Non_BioNLP
DeusImperator/Dark-Miqu-70B_exl2_2.4bpw
DeusImperator
text-generation
[ "transformers", "safetensors", "llama", "text-generation", "mergekit", "merge", "arxiv:2403.19522", "base_model:152334H/miqu-1-70b-sf", "base_model:merge:152334H/miqu-1-70b-sf", "base_model:Sao10K/Euryale-1.3-L2-70B", "base_model:merge:Sao10K/Euryale-1.3-L2-70B", "base_model:Sao10K/WinterGodde...
1,716
1,716
9
0
--- base_model: - 152334H/miqu-1-70b-sf - sophosympatheia/Midnight-Rose-70B-v2.0.3 - Sao10K/Euryale-1.3-L2-70B - Sao10K/WinterGoddess-1.4x-70B-L2 library_name: transformers license: other tags: - mergekit - merge --- ![Dark-Miqu.png](Dark-Miqu.png) # Dark-Miqu-70B - EXL2 2.4bpw This is a 2.4bpw EXL2 quant of [jukofy...
[ "TRANSLATION" ]
[ "BEAR" ]
Non_BioNLP
beethogedeon/gte-Qwen2-7B-instruct-Q4_K_M-GGUF
beethogedeon
sentence-similarity
[ "sentence-transformers", "gguf", "qwen2", "text-generation", "mteb", "transformers", "Qwen2", "sentence-similarity", "llama-cpp", "gguf-my-repo", "custom_code", "base_model:Alibaba-NLP/gte-Qwen2-7B-instruct", "base_model:quantized:Alibaba-NLP/gte-Qwen2-7B-instruct", "license:apache-2.0", ...
1,733
1,733
354
2
--- base_model: Alibaba-NLP/gte-Qwen2-7B-instruct license: apache-2.0 tags: - mteb - sentence-transformers - transformers - Qwen2 - sentence-similarity - llama-cpp - gguf-my-repo model-index: - name: gte-qwen2-7B-instruct results: - task: type: Classification dataset: name: MTEB AmazonCounterfactual...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
RichardErkhov/ricepaper_-_vi-gemma-2b-RAG-gguf
RichardErkhov
null
[ "gguf", "endpoints_compatible", "region:us", "conversational" ]
1,724
1,724
98
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) vi-gemma-2b-RAG - GGUF - Model creator: https://huggingface.co/ricepaper/ - Original model: https://huggingface.c...
[ "QUESTION_ANSWERING", "TRANSLATION", "SUMMARIZATION" ]
[ "CHIA" ]
BioNLP
RichardErkhov/BSC-LT_-_salamandra-7b-gguf
RichardErkhov
null
[ "gguf", "arxiv:2403.14009", "arxiv:2403.20266", "arxiv:2101.00027", "arxiv:2207.00220", "arxiv:1810.06694", "arxiv:1911.05507", "arxiv:1906.03741", "arxiv:2406.17557", "arxiv:2402.06619", "arxiv:1803.09010", "endpoints_compatible", "region:us" ]
1,728
1,728
80
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) salamandra-7b - GGUF - Model creator: https://huggingface.co/BSC-LT/ - Original model: https://huggingface.co/BSC...
[ "QUESTION_ANSWERING", "TRANSLATION", "SUMMARIZATION", "PARAPHRASING" ]
[ "BEAR", "SCIELO" ]
Non_BioNLP
CCwz/gme-Qwen2-VL-7B-Instruct-Q5_K_S-GGUF
CCwz
sentence-similarity
[ "sentence-transformers", "gguf", "mteb", "transformers", "Qwen2-VL", "sentence-similarity", "vidore", "llama-cpp", "gguf-my-repo", "en", "zh", "base_model:Alibaba-NLP/gme-Qwen2-VL-7B-Instruct", "base_model:quantized:Alibaba-NLP/gme-Qwen2-VL-7B-Instruct", "license:apache-2.0", "model-inde...
1,735
1,735
73
0
--- base_model: Alibaba-NLP/gme-Qwen2-VL-7B-Instruct language: - en - zh license: apache-2.0 tags: - mteb - sentence-transformers - transformers - Qwen2-VL - sentence-similarity - vidore - llama-cpp - gguf-my-repo model-index: - name: gme-Qwen2-VL-7B-Instruct results: - task: type: STS dataset: name...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
AdaptLLM/law-LLM-13B
AdaptLLM
text-generation
[ "transformers", "pytorch", "safetensors", "llama", "text-generation", "legal", "en", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "dataset:EleutherAI/pile", "arxiv:2309.09530", "arxiv:2411.19930", "arxiv:2406.14491", "autotrain_com...
1,703
1,733
257
34
--- datasets: - Open-Orca/OpenOrca - GAIR/lima - WizardLM/WizardLM_evol_instruct_V2_196k - EleutherAI/pile language: - en metrics: - accuracy pipeline_tag: text-generation tags: - legal --- # Adapting LLMs to Domains via Continual Pre-Training (ICLR 2024) This repo contains the domain-specific base model developed fro...
[ "QUESTION_ANSWERING" ]
[ "CHEMPROT" ]
Non_BioNLP
RichardErkhov/bennegeek_-_stella_en_1.5B_v5-4bits
RichardErkhov
null
[ "safetensors", "qwen2", "custom_code", "arxiv:2205.13147", "4-bit", "bitsandbytes", "region:us" ]
1,741
1,741
12
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) stella_en_1.5B_v5 - bnb 4bits - Model creator: https://huggingface.co/bennegeek/ - Original model: https://huggin...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
huoxu/bge-large-en-v1.5-Q8_0-GGUF
huoxu
feature-extraction
[ "sentence-transformers", "gguf", "feature-extraction", "sentence-similarity", "transformers", "mteb", "llama-cpp", "gguf-my-repo", "en", "base_model:BAAI/bge-large-en-v1.5", "base_model:quantized:BAAI/bge-large-en-v1.5", "license:mit", "model-index", "autotrain_compatible", "endpoints_co...
1,721
1,721
285
0
--- base_model: BAAI/bge-large-en-v1.5 language: - en license: mit tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - mteb - llama-cpp - gguf-my-repo model-index: - name: bge-large-en-v1.5 results: - task: type: Classification dataset: name: MTEB AmazonCounterf...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
minhtuan7akp/snowflake-m-v2.0-vietnamese-finetune
minhtuan7akp
sentence-similarity
[ "sentence-transformers", "safetensors", "gte", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:21892", "loss:MultipleNegativesRankingLoss", "custom_code", "arxiv:1908.10084", "arxiv:1705.00652", "base_model:Snowflake/snowflake-arctic-embed-m-v2.0", "base_...
1,740
1,740
21
0
--- base_model: Snowflake/snowflake-arctic-embed-m-v2.0 library_name: sentence-transformers metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5...
[ "TEXT_CLASSIFICATION" ]
[ "CHIA" ]
Non_BioNLP
pruas/BENT-PubMedBERT-NER-Cell-Type
pruas
token-classification
[ "transformers", "pytorch", "bert", "token-classification", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,673
1,709
24
0
--- language: - en license: apache-2.0 pipeline_tag: token-classification --- Named Entity Recognition (NER) model to recognize cell type entities. Please cite our work: ``` @article{NILNKER2022, title = {NILINKER: Attention-based approach to NIL Entity Linking}, journal = {Journal of Biomedical Informatics}, ...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "CRAFT", "CELLFINDER", "JNLPBA" ]
BioNLP
RichardErkhov/GritLM_-_GritLM-7B-8bits
RichardErkhov
text-generation
[ "transformers", "safetensors", "mistral", "text-generation", "conversational", "custom_code", "arxiv:2402.09906", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "8-bit", "bitsandbytes", "region:us" ]
1,714
1,714
4
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) GritLM-7B - bnb 8bits - Model creator: https://huggingface.co/GritLM/ - Original model: https://huggingface.co/Gr...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
nomic-ai/nomic-embed-text-v1.5
nomic-ai
sentence-similarity
[ "sentence-transformers", "onnx", "safetensors", "nomic_bert", "feature-extraction", "sentence-similarity", "mteb", "transformers", "transformers.js", "custom_code", "en", "arxiv:2205.13147", "arxiv:2402.01613", "license:apache-2.0", "model-index", "autotrain_compatible", "text-embedd...
1,707
1,737
986,761
577
--- language: - en library_name: sentence-transformers license: apache-2.0 pipeline_tag: sentence-similarity tags: - feature-extraction - sentence-similarity - mteb - transformers - transformers.js model-index: - name: epoch_0_model results: - task: type: Classification dataset: name: MTEB AmazonCou...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
RichardErkhov/phamhai_-_Llama-3.2-1B-Instruct-Frog-awq
RichardErkhov
null
[ "safetensors", "llama", "4-bit", "awq", "region:us" ]
1,732
1,732
11
0
--- {} --- Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Llama-3.2-1B-Instruct-Frog - AWQ - Model creator: https://huggingface.co/phamhai/ - Original model: https://huggi...
[ "SUMMARIZATION" ]
[ "CHIA" ]
Non_BioNLP
simonosgoode/nomic_embed_fine_tune_law_v3
simonosgoode
sentence-similarity
[ "sentence-transformers", "safetensors", "nomic_bert", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:12750", "loss:MultipleNegativesRankingLoss", "custom_code", "arxiv:1908.10084", "arxiv:1705.00652", "base_model:nomic-ai/nomic-embed-text-v1.5", "base_mo...
1,731
1,731
9
0
--- base_model: nomic-ai/nomic-embed-text-v1.5 library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:12750 - loss:MultipleNegativesRankingLoss widget: - source_sentence: 'cluster: SUMMARY: E...
[ "TEXT_CLASSIFICATION" ]
[ "BEAR", "CAS", "MQP" ]
Non_BioNLP
tanbinh2210/mlm_finetuned_2_phobert
tanbinh2210
sentence-similarity
[ "sentence-transformers", "safetensors", "roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:357018", "loss:MultipleNegativesRankingLoss", "arxiv:1908.10084", "arxiv:1705.00652", "base_model:tanbinh2210/mlm_finetuned_phobert", "base_model:finetune:tan...
1,732
1,732
7
0
--- base_model: tanbinh2210/mlm_finetuned_phobert library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:357018 - loss:MultipleNegativesRankingLoss widget: - source_sentence: đánh_giá phẩm_chấ...
[ "TEXT_CLASSIFICATION" ]
[ "CHIA" ]
Non_BioNLP
IEETA/BioNExt
IEETA
null
[ "en", "dataset:bigbio/biored", "license:mit", "region:us" ]
1,715
1,715
0
1
--- datasets: - bigbio/biored language: - en license: mit metrics: - f1 --- # Model Card for BioNExt BioNExt, is an end-to-end Biomedical Relation Extraction and Classifcation system. The work utilized three modules, a Tagger (Named Entity Recognition), Linker (Entity Linking) and an Extractor (Relation Extraction a...
[ "NAMED_ENTITY_RECOGNITION", "RELATION_EXTRACTION" ]
[ "BIORED" ]
BioNLP
vocabtrimmer/mt5-small-trimmed-fr-10000-frquad-qa
vocabtrimmer
text2text-generation
[ "transformers", "pytorch", "mt5", "text2text-generation", "question answering", "fr", "dataset:lmqg/qg_frquad", "arxiv:2210.03992", "license:cc-by-4.0", "model-index", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,679
1,679
12
0
--- datasets: - lmqg/qg_frquad language: fr license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore pipeline_tag: text2text-generation tags: - question answering widget: - text: 'question: En quelle année a-t-on trouvé trace d''un haut fourneau similaire?, context: Cette technologie ne dispa...
[ "QUESTION_ANSWERING" ]
[ "CAS" ]
Non_BioNLP
Savoxism/Finetuned-Paraphrase-Multilingual-MiniLM-L12-v2
Savoxism
sentence-similarity
[ "sentence-transformers", "safetensors", "bert", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:89592", "loss:CachedMultipleNegativesRankingLoss", "arxiv:1908.10084", "arxiv:2101.06983", "base_model:sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"...
1,741
1,741
3
0
--- base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:89592 - loss:CachedMultipleNegativesRankingLoss widget: - sou...
[ "TEXT_CLASSIFICATION" ]
[ "CHIA" ]
Non_BioNLP
Dizex/FoodBaseBERT-NER
Dizex
token-classification
[ "transformers", "pytorch", "safetensors", "bert", "token-classification", "FoodBase", "NER", "en", "dataset:Dizex/FoodBase", "license:mit", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,667
1,684
1,241
19
--- datasets: - Dizex/FoodBase language: en license: mit tags: - FoodBase - NER widget: - text: 'Today''s meal: Fresh olive poké bowl topped with chia seeds. Very delicious!' example_title: Food example 1 - text: Tartufo Pasta with garlic flavoured butter and olive oil, egg yolk, parmigiano and pasta water. exa...
[ "NAMED_ENTITY_RECOGNITION" ]
[ "CHIA" ]
Non_BioNLP
bobox/DeBERTa-small-ST-v1-test-step3
bobox
sentence-similarity
[ "sentence-transformers", "pytorch", "deberta-v2", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:279409", "loss:CachedGISTEmbedLoss", "en", "dataset:tals/vitaminc", "dataset:allenai/scitail", "dataset:allenai/sciq", "dataset:allenai/qasc", "dataset:sen...
1,724
1,724
6
0
--- base_model: bobox/DeBERTa-small-ST-v1-test-step2 datasets: - tals/vitaminc - allenai/scitail - allenai/sciq - allenai/qasc - sentence-transformers/msmarco-msmarco-distilbert-base-v3 - sentence-transformers/natural-questions - sentence-transformers/trivia-qa - sentence-transformers/gooaq - google-research-datasets/p...
[ "TEXT_CLASSIFICATION", "SEMANTIC_SIMILARITY", "TRANSLATION" ]
[ "CAS", "SCIQ", "SCITAIL" ]
Non_BioNLP
JosephusCheung/Guanaco
JosephusCheung
text-generation
[ "transformers", "pytorch", "llama", "text-generation", "guannaco", "alpaca", "conversational", "en", "zh", "ja", "de", "dataset:JosephusCheung/GuanacoDataset", "doi:10.57967/hf/0607", "license:gpl-3.0", "autotrain_compatible", "text-generation-inference", "region:us" ]
1,680
1,685
2,164
230
--- datasets: - JosephusCheung/GuanacoDataset language: - en - zh - ja - de license: gpl-3.0 pipeline_tag: conversational tags: - llama - guannaco - alpaca inference: false --- ![](https://huggingface.co/JosephusCheung/Guanaco/resolve/main/StupidBanner.png) **You can run on Colab free T4 GPU now** [![Open In Colab](...
[ "TRANSLATION" ]
[ "BEAR" ]
Non_BioNLP
bhavnicksm/brown-beetle-small-v1
bhavnicksm
null
[ "model2vec", "safetensors", "embeddings", "static-embeddings", "sentence-transformers", "mteb", "en", "license:mit", "model-index", "region:us" ]
1,737
1,737
27
2
--- base_model: baai/bge-base-en-v1.5 language: - en library_name: model2vec license: mit tags: - embeddings - static-embeddings - sentence-transformers - mteb model-index: - name: brown-beetle-small-v1 results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualCl...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
pyf98/gigaspeech_e_branchformer
pyf98
automatic-speech-recognition
[ "espnet", "audio", "automatic-speech-recognition", "en", "dataset:gigaspeech", "arxiv:2210.00077", "arxiv:1804.00015", "license:cc-by-4.0", "region:us" ]
1,674
1,674
1
0
--- datasets: - gigaspeech language: en license: cc-by-4.0 tags: - espnet - audio - automatic-speech-recognition --- ## ESPnet2 ASR model ### `pyf98/gigaspeech_e_branchformer` This model was trained by Yifan Peng using gigaspeech recipe in [espnet](https://github.com/espnet/espnet/). References: - [E-Branchformer:...
[ "TRANSLATION" ]
[ "BEAR", "CRAFT" ]
Non_BioNLP
dhruvrnaik/test-openbiollm
dhruvrnaik
null
[ "pytorch", "llama", "llama-3", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation", "heathcare", "medical", "clinical", "med", "lifescience", "Pharmaceutical", "Pharma", "en", "arxiv:2305.18290", "arxiv:2303.13375", "arxiv:2212.13138", "arxi...
1,739
1,739
16
0
--- base_model: meta-llama/Meta-Llama-3-70B-Instruct language: - en license: llama3 tags: - llama-3 - llama - Mixtral - instruct - finetune - chatml - DPO - RLHF - gpt4 - distillation - heathcare - medical - clinical - med - lifescience - Pharmaceutical - Pharma widget: - example_title: OpenBioLLM-70B messages: - r...
[ "QUESTION_ANSWERING" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
comet24082002/ft_bge_newLaw_OnlineContrastiveLoss_SimSCE_V2_5epochs
comet24082002
sentence-similarity
[ "sentence-transformers", "safetensors", "xlm-roberta", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:21048", "loss:OnlineContrastiveLoss", "arxiv:1908.10084", "base_model:comet24082002/finetune_bge_simsce_V1", "base_model:finetune:comet24082002/finetune_bge...
1,718
1,718
8
0
--- base_model: comet24082002/finetune_bge_simsce_V1 datasets: [] language: [] library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:21048 - loss:OnlineContrastiveLoss widget: - source_senten...
[ "TEXT_CLASSIFICATION" ]
[ "CHIA" ]
Non_BioNLP
fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-52686172
fine-tuned
feature-extraction
[ "sentence-transformers", "safetensors", "bert", "feature-extraction", "sentence-similarity", "mteb", "custom_code", "en", "dataset:fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-52686172", "dataset:allenai/c4", "license:apache-2.0", "autotrain_compatible", "text-embeddings-inference", "endpo...
1,716
1,716
8
0
--- datasets: - fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-52686172 - allenai/c4 language: - en - en license: apache-2.0 pipeline_tag: feature-extraction tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb --- This model is a fine-tuned version of [**jinaai/jina-embeddings-v2-base-en**](ht...
[ "TEXT_CLASSIFICATION" ]
[ "SCIFACT" ]
Non_BioNLP
aajonaa/bge-small-en-v1.5
aajonaa
feature-extraction
[ "sentence-transformers", "pytorch", "onnx", "safetensors", "bert", "feature-extraction", "sentence-similarity", "transformers", "mteb", "en", "arxiv:2401.03462", "arxiv:2312.15503", "arxiv:2311.13534", "arxiv:2310.07554", "arxiv:2309.07597", "license:mit", "model-index", "autotrain...
1,738
1,738
12
0
--- language: - en license: mit tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - mteb model-index: - name: bge-small-en-v1.5 results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/am...
[ "SEMANTIC_SIMILARITY", "SUMMARIZATION" ]
[ "BEAR", "BIOSSES", "SCIFACT" ]
Non_BioNLP
rjnClarke/BAAI-bge-large-en-v1.5-fine-tuned
rjnClarke
sentence-similarity
[ "sentence-transformers", "safetensors", "bert", "sentence-similarity", "feature-extraction", "generated_from_trainer", "dataset_size:10359", "loss:MultipleNegativesRankingLoss", "en", "arxiv:1908.10084", "arxiv:1705.00652", "base_model:BAAI/bge-large-en-v1.5", "base_model:finetune:BAAI/bge-l...
1,722
1,722
50
0
--- base_model: BAAI/bge-large-en-v1.5 datasets: [] language: - en library_name: sentence-transformers license: apache-2.0 metrics: - cosine_accuracy@3 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5 - cosine_recall@10 - cosine_n...
[ "TEXT_CLASSIFICATION" ]
[ "BEAR" ]
Non_BioNLP
Marqo/multilingual-e5-small
Marqo
sentence-similarity
[ "sentence-transformers", "pytorch", "onnx", "safetensors", "bert", "mteb", "Sentence Transformers", "sentence-similarity", "multilingual", "af", "am", "ar", "as", "az", "be", "bg", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", ...
1,725
1,725
79
2
--- language: - multilingual - af - am - ar - as - az - be - bg - bn - br - bs - ca - cs - cy - da - de - el - en - eo - es - et - eu - fa - fi - fr - fy - ga - gd - gl - gu - ha - he - hi - hr - hu - hy - id - is - it - ja - jv - ka - kk - km - kn - ko - ku - ky - la - lo - lt - lv - mg - mk - ml - mn - mr - ms - my -...
[ "SEMANTIC_SIMILARITY", "TRANSLATION", "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
grimjim/llama-3-aaditya-OpenBioLLM-8B
grimjim
text-generation
[ "transformers", "pytorch", "safetensors", "llama", "text-generation", "llama-3", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation", "en", "arxiv:2305.18290", "arxiv:2303.13375", "arxiv:2212.13138", "arxiv:2305.09617", "arxiv:2402.07023", "base...
1,716
1,716
32
0
--- base_model: meta-llama/Meta-Llama-3-8B language: - en license: llama3 tags: - llama-3 - llama - Mixtral - instruct - finetune - chatml - DPO - RLHF - gpt4 - distillation widget: - example_title: OpenBioLLM-8B messages: - role: system content: You are an expert and experienced from the healthcare and biomedi...
[ "QUESTION_ANSWERING" ]
[ "MEDQA", "PUBMEDQA" ]
BioNLP
tomaarsen/glove-mean-pooling-sts
tomaarsen
sentence-similarity
[ "sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss", "en", "arxiv:1908.10084", "model-index", "co2_eq_emissions", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,714
1,714
0
0
--- language: - en library_name: sentence-transformers metrics: - pearson_cosine - spearman_cosine - pearson_manhattan - spearman_manhattan - pearson_euclidean - spearman_euclidean - pearson_dot - spearman_dot - pearson_max - spearman_max pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-simila...
[ "TEXT_CLASSIFICATION", "SEMANTIC_SIMILARITY" ]
[ "BEAR" ]
Non_BioNLP
TheBloke/UNAversal-8x7B-v1beta-GPTQ
TheBloke
text-generation
[ "transformers", "safetensors", "mixtral", "text-generation", "UNA", "juanako", "MoE", "conversational", "en", "base_model:fblgit/UNAversal-8x7B-v1beta", "base_model:quantized:fblgit/UNAversal-8x7B-v1beta", "license:cc-by-nc-sa-4.0", "autotrain_compatible", "text-generation-inference", "4...
1,703
1,703
21
1
--- base_model: fblgit/UNAversal-8x7B-v1beta language: - en library_name: transformers license: cc-by-nc-sa-4.0 model_name: UNAversal 8X7B v1Beta tags: - UNA - juanako - mixtral - MoE inference: false model_creator: FBL model_type: mixtral prompt_template: '{prompt} ' quantized_by: TheBloke --- <!-- markdownlint-dis...
[ "TRANSLATION" ]
[ "PUBMEDQA", "SCIQ" ]
Non_BioNLP
aisingapore/llama3.1-8b-cpt-sea-lionv3-instruct
aisingapore
text-generation
[ "transformers", "safetensors", "llama", "text-generation", "conversational", "en", "zh", "vi", "id", "th", "fil", "ta", "ms", "km", "lo", "my", "jv", "su", "arxiv:2309.06085", "arxiv:2311.07911", "arxiv:2306.05685", "base_model:aisingapore/llama3.1-8b-cpt-sea-lionv3-base", ...
1,733
1,734
3,931
4
--- base_model: - aisingapore/llama3.1-8b-cpt-sea-lionv3-base language: - en - zh - vi - id - th - fil - ta - ms - km - lo - my - jv - su library_name: transformers license: llama3.1 pipeline_tag: text-generation --- <div> <img src="llama_3.1_8b_sea-lion_v3_instruct_banner.png"/> </div> # Llama3.1 8B CPT SEA-LIONv3...
[ "QUESTION_ANSWERING", "TRANSLATION" ]
[ "CHIA" ]
Non_BioNLP
twadada/wl_sw_256
twadada
null
[ "mteb", "model-index", "region:us" ]
1,736
1,736
0
0
--- tags: - mteb model-index: - name: l3_wordllama_256 results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: None config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy ...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP
bigscience/sgpt-bloom-7b1-msmarco
bigscience
sentence-similarity
[ "sentence-transformers", "pytorch", "bloom", "feature-extraction", "sentence-similarity", "mteb", "arxiv:2202.08904", "model-index", "autotrain_compatible", "endpoints_compatible", "region:us" ]
1,661
1,712
58
43
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb model-index: - name: sgpt-bloom-7b1-msmarco results: - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/amazon_counterfactual ...
[ "SUMMARIZATION" ]
[ "BIOSSES", "SCIFACT" ]
Non_BioNLP