accphysbert_cased safetensors download | Hugging Bay

Q: What is this model?

thellert/accphysbert_cased is an embedding model for text embeddings published by thellert, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for feature extraction: thellert/accphysbert_cased · sentence transformers

Q: Can I use it commercially?

It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 438.9 MB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 438.9 MB. The original release is at https://huggingface.co/thellert/accphysbert_cased.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-thellert-accphysbert-cased/safety on Hugging Bay.

Q: Will thellert/accphysbert_cased 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.

thellert

accphysbert_cased

Can I run accphysbert_cased on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

accphysbert_cased is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: 6c823a9f85d017225bed0397fc6af8af3183a6f09a31c69394eab213646db970. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-24 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

thellert/accphysbert_cased

Model details

text embeddingsLicense: cc-by-4.0SHA-256 recorded for 5 of 8 filessafetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, baseModel, cardMetadata.libraryName, modality, task, cardMetadata.pipelineTag.

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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-thellert-accphysbert-cased/model.safetensors",
    "model.safetensors",
)

Other ways

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

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5 hosted of 8 listed · Hashes recorded. Date not recorded.

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

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