Models
Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Evaluation - Additional information - Author - Contact…
An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).
This model performs both segmentation and classification on chest radiographs (X-rays).
Model artifact mirrored from the HuggingFace Hub.
Model artifact mirrored from the HuggingFace Hub.
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image
Model artifact mirrored from the HuggingFace Hub.
AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).
AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).
Mirror of the base ProGen2-small model (with slightly modified configuration and forward pass) by Nijkamp, et
Mirror of the base ProGen2-base model (with slightly modified configuration and forward pass) by Nijkamp, et
Boltz-1 is an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands 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