everything is Apache‑2.0.

head to the @hf.co collection, pick a model, and try it out.

share feedback, and tell me your clinical/biomedical NER needs, your use cases will guide the roadmap.

huggingface.co/collections/...

coverage includes:

BC4CHEMD,
BC5CDR (chem + disease),
BC2GM,
JNLPBA,
BioNLP 2013 CG,
GELLUS,
FSU,
CLL,
Anatomy (AnatEM),
Linnaeus,
Species‑800,
NCBI‑Disease.

pick a size to match latency/accuracy needs and your deployment constraints.

🧵 (5/6)

what’s in the release: 91 models across sizes (~60M → ~770M; Tiny → XLarge).

domain‑adapted for clinical/biomedical text while keeping flexible zero‑shot behavior.

seamless with gliner and the @hf.co ecosystem.

🧵 (4/6)

why zero‑shot?

define labels at inference, no retraining.

go from “disease” to “gene mutation” to “device” by changing the label list.

perfect for shifting schemas across hospitals, projects,

and ontologies without new annotation cycles.

🧵 (3/6)

performance snapshot:

across 91 base→fine‑tuned pairs,

average F1 jumps from 0.519 → 0.809 (+0.290, ~80% relative).

consistent gains for chemicals, diseases, anatomy, genes/proteins, and oncology corpora.

🧵 (2/6)

it's being assembled all by hand?

Explore the models, build something amazing, and join the OpenMed community. Let's make healthcare smarter together.

Check it out the blog post: huggingface.co/blog/Maziyar...

These 380+ models aren't just free, they're top-tier, matching or beating paid options. With sizes from 109M to 568M parameters, they're ready for real-world use.

Plus, they integrate seamlessly with Hugging Face and PyTorch.

Healthcare AI has been locked behind paywalls for too long. Costly licenses and limited access have slowed innovation. OpenMed changes that by making advanced models freely available to everyone. No more barriers, just progress!

Yeah, not joking! Bye until you stop treating Devs as your customers instead of partners.

azure.microsoft.com/en-us/blog/d...

Oh very good questions! I do 2 things:
- I use personas to have different responses
- randomness of the temp and seed in combination

I also create 2-3 responses so I can rate them later and only keep the better one.

- huggingface.co/datasets/pro...
- huggingface.co/datasets/arg...

github.com/deepseek-ai/...