UMLSBert_ENG safetensors download (438 MB) | Hugging Bay

UMLSBert_ENG

GanjinZero/UMLSBert_ENG

Model details

text embeddingsLicense: apache-2.0SHA-256 recorded for 5 of 6 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-ganjinzero-umlsbert-eng/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

4 hosted of 6 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

Modellinformationen

UMLSBert_ENG is an embedding model for text embeddings. The primary file is model.safetensors (438 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 861fbd45c0ae. 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.

Enthaltene Dateien

4 hosted of 6 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for GanjinZero/UMLSBert_ENG. Task: feature extraction. Library: transformers. Languages: en. Popularity signal at import: 2,635 downloads and 13 likes.

Kurzinfo

Hosted here: 4 hosted of 6 listed
Full repo upstream: 876.2 MB
Recommended file: 438 MB · model.safetensors
Languages: en
Format: safetensors · BIN
Downloads on Hugging Face: 998
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: apache-2.0

4 hosted of 6 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: text embeddings
Hosted here: 4 files, 438.2 MB
Full repo upstream: 876.2 MB
Recommended file: 438 MB · model.safetensors
Files: 4 hosted of 6 listed
Download: Download here (4 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Aug 28, 2026
Source: GanjinZero/UMLSBert_ENG

FAQ

What is this model?

GanjinZero/UMLSBert_ENG is an embedding model for text embeddings published by GanjinZero, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: GanjinZero/UMLSBert_ENG · 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: 4 files, 438.2 MB. Full repo upstream: 876.2 MB. The recommended download, model.safetensors, is 438 MB.

What can I download here?

Hosted here: 4 files, 438.2 MB. Full repo upstream: 876.2 MB. The original release is at https://huggingface.co/GanjinZero/UMLSBert_ENG.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ganjinzero-umlsbert-eng/safety on Hugging Bay.

Will GanjinZero/UMLSBert_ENG 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.