Models
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…
Model description - Intended uses and limitations - How to use - Training - Evaluation - Additional information - Author - Licensing information - Citation…
SapBERT-PubMedBERT SapBERT by Liu et al.
This is a PubMedBERT-base model fined-tuned using sentence-transformers.
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image
Model artifact mirrored from the HuggingFace Hub.
Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Tokenization and model pretraining - Training corpora and…
Chai-1 is a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of benchmarks.
Using Caduceus To use the pre-trained model for masked language modeling, use the following snippet: python from transformers import AutoModelForMaskedLM,
Using Caduceus To use the pre-trained model for masked language modeling, use the following snippet: python from transformers import AutoModelForMaskedLM,
Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA
Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA
Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA
Geneformer Geneformer is a foundational transformer model pretrained on a large-scale corpus of human single cell transcriptomes to enable context-aware…
MoLFormer is a class of models pretrained on SMILES string representations of up to 1.1B molecules from ZINC and PubChem.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Source code repository mirrored from GitHub (biomap-research/scFoundation).