aspect-scibert-task safetensors download | Hugging Bay

Q: What is this model?

malteos/aspect-scibert-task is an embedding model for text embeddings published by malteos, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for feature extraction: malteos/aspect-scibert-task · transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 879.7 MB. The recommended download, model.safetensors, is 439.7 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 879.7 MB. The original release is at https://huggingface.co/malteos/aspect-scibert-task.

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-malteos-aspect-scibert-task/safety on Hugging Bay.

Q: Will malteos/aspect-scibert-task 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.

malteos

aspect-scibert-task

malteos/aspect-scibert-task

text embeddingsLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for feature extraction: malteos/aspect-scibert-task · transformers

View as JSON →

5 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	439.7 MB	`8a41c670…dc5cf7e7` `8a41c6701535b52a8c54a092cf4e189f1ce52721979277b44e988c37dc5cf7e7`	Hosted	Herunterladen
`pytorch_model.bin`	439.7 MB	`e5eb4524…d9e57897` `e5eb4524b26155a992f3441b0a96c3fdc61ff67fb4f4409cb066cef3d9e57897`	Upstream only	File metadata
Tokenizer & config
`config.json`	462 bytes	`7bc51269…1e56f571` `7bc5126926a17390a6d40923488d78f3c94debff53dabc071c8d96e41e56f571`	Hosted	Herunterladen
`tokenizer_config.json`	62 bytes	`359fdd36…1ec7be9c` `359fdd360be3de14228b56e2ca9c6c940ff0b1a3dc88a5bf32bdeeb21ec7be9c`	Hosted	Herunterladen
`vocab.txt`	227.8 KB	`f0a65034…e3a36c6f` `f0a650346e51ede8996710f79ba65d83fdb8da05b159f17037b74ba4e3a36c6f`	Hosted	Herunterladen
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Herunterladen
Docs
`.gitattributes`	1.23 KB	—	Upstream only	File metadata
`README.md`	24 bytes	—	Upstream only	File metadata

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In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

aspect-scibert-task

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