Models

This model was previously named "PubMedBERT (abstracts + full text)".

This is the pretrained model presented in SciBERT: A Pretrained Language Model for Scientific Text, which is a BERT model trained on scientific

fill-mask artifact mirrored from the HuggingFace Hub.

The Publicly Available Clinical BERT Embeddings paper contains four unique clinicalBERT models: initialized with BERT-Base (casedL-12H-768A-12) or BioBERT…

Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language…

Note: This model was previously known as PubMedGPT 2.7B, but we have changed it due to a request from the NIH which holds the trademark for

CXR-BERT is a chest X-ray (CXR) domain-specific language model that makes use of an improved vocabulary, novel pretraining procedure, weight regularization,…

About the Model An English Named Entity Recognition model, trained on Maccrobat to recognize the bio-medical entities (107 entities) from a given text corpus…

text-generation artifact mirrored from the HuggingFace Hub.

Model description - Intended uses and limitations - How to use - Training - Evaluation - Additional information - Author - Licensing information - Citation…

Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Evaluation - Additional information - Author - Contact…

A Named Entity Recognition model for clinical entities (problem, treatment,

This model card describes the ClinicalBERT model, which was trained on a large multicenter dataset with a large corpus of 1.2B words of diverse diseases we…

The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the…

SapBERT-PubMedBERT SapBERT by Liu et al.

This is a PubMedBERT-base model fined-tuned using sentence-transformers.

BiomedCLIP is a biomedical vision-language foundation model that is pretrained on PMC-15M, a dataset of 15 million figure-caption pairs extracted from…

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or…

Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Tokenization and model pretraining - Training corpora and…

Intern-S1 is an open multimodal scientific reasoning model from Shanghai AI Laboratory (InternLM): a Qwen3-235B mixture-of-experts language model with a 6B…