sciembed-full
anon-nlp/sciembed-fullContent controls: not assessed.
Model from Hugging Face: anon-nlp/sciembed-full
Modellinformationen
sciembed-full is an embedding model for text embeddings. The primary file is model.safetensors (596 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is 894d09af19a6. 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. The size line uses recorded file bytes when they are present in this model record.
Enthaltene Dateien
10 hosted of 11 listed
Über dieses Modell
External Hugging Face catalog record for anon-nlp/sciembed-full. Popularity signal at import: 32 downloads and 0 likes. Files are listed for discovery and verification context, but this Hugging Bay pilot has not mirrored or rescanned the remote blobs. Use the upstream Hugging Face links for download until an explicit mirror job is approved.
Kurzinfo
- Hosted here
- 10 hosted of 11 listed
- Full repo upstream
- unknown
- Recommended file
- 596.1 MB · model.safetensors
- Format
- safetensors
- Downloads on Hugging Face
- 32
- File hashes
- Hashes recorded. Date not recorded.
Lizenz und Quelle
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text embeddings
- Hosted here
- 10 files, 599.7 MB
- Full repo upstream
- unknown
- Recommended file
- 596.1 MB · model.safetensors
- Files
- 10 hosted of 11 listed
- Download
- Download here (10 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- anon-nlp/sciembed-full
FAQ
What is this model?
anon-nlp/sciembed-full is an embedding model for text embeddings published by anon-nlp, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: anon-nlp/sciembed-full
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.
How big is it?
Hosted here: 10 files, 599.7 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 596.1 MB.
What can I download here?
Hosted here: 10 files, 599.7 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/anon-nlp/sciembed-full.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-anon-nlp-sciembed-full/safety on Hugging Bay.
Will anon-nlp/sciembed-full 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.