radlit-biencoder
matulichpt/radlit-biencoderContent controls: not assessed.
Model from Hugging Face for sentence similarity: matulichpt/radlit-biencoder · sentence transformers
Datos del modelo
radlit-biencoder is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (499 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is f1e5e54f4a42. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
Qué incluye
9 hosted of 14 listed
Acerca de este modelo
External Hugging Face catalog record for matulichpt/radlit-biencoder. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: radiology-education-corpus. Base model: zzxslp/RadBERT-RoBERTa-4m. Includes 5 model-card evaluation signals.
Datos básicos
- Hosted here
- 9 hosted of 14 listed
- Full repo upstream
- 503.4 MB
- Recommended file
- 498.6 MB · model.safetensors
- Languages
- en
- Format
- safetensors
- Downloads on Hugging Face
- 81
- File hashes
- Hashes recorded. Date not recorded.
Licencia y origen
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- sentence similarity and retrieval
- Hosted here
- 9 files, 502.2 MB
- Full repo upstream
- 503.4 MB
- Recommended file
- 498.6 MB · model.safetensors
- Files
- 9 hosted of 14 listed
- Download
- Download here (9 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
matulichpt/radlit-biencoder is an embedding model for sentence similarity and retrieval published by matulichpt, added to Hugging Bay Sep 29, 2026. Model from Hugging Face for sentence similarity: matulichpt/radlit-biencoder · sentence transformers
Can I use it commercially?
It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: 9 files, 502.2 MB. Full repo upstream: 503.4 MB. The recommended download, model.safetensors, is 498.6 MB.
What can I download here?
Hosted here: 9 files, 502.2 MB. Full repo upstream: 503.4 MB. The original release is at https://huggingface.co/matulichpt/radlit-biencoder.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-matulichpt-radlit-biencoder/safety on Hugging Bay.
Will matulichpt/radlit-biencoder run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.