OpenMed/OpenMed-NER-AnatomyDetect-EuroMed-212M
OpenMed/OpenMed-NER-AnatomyDetect-EuroMed-212M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
2,502,020 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
OpenMed/OpenMed-NER-AnatomyDetect-EuroMed-212M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-OrganismDetect-MultiMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PathologyDetect-MultiMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-ProteinDetect-BigMed-560M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PharmaDetect-MultiMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-AnatomyDetect-ModernClinical-149M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-OrganismDetect-ModernMed-149M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DiseaseDetect-MultiMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomicDetect-BioPatient-108M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
mudler/vibevoice.cpp-models is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-OrganismDetect-ElectraMed-335M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomeDetect-PubMed-335M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-OrganismDetect-TinyMed-135M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-141M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DNADetect-MultiMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DNADetect-TinyMed-65M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-BloodCancerDetect-MultiMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-AnatomyDetect-ElectraMed-33M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-GenomeDetect-BigMed-278M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
unsloth/Qwen3.6-35B-A3B is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-PharmaDetect-SnowMed-568M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-ChemicalDetect-MultiMed-335M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
OpenMed/OpenMed-NER-DiseaseDetect-ModernMed-149M is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.