tiny-random-xlm-roberta
optimum-intel-internal-testing/tiny-random-xlm-robertaContent controls: not assessed.
Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-xlm-roberta · pytorch
Modellinformationen
tiny-random-xlm-roberta is an open-weights language model for general. The primary file is model.safetensors (9.09 MB). The primary file needs about 2 GB free for the selected file. License: unknown. The SHA-256 prefix is 8cd9aefdcce3. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. 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
6 hosted of 11 listed
Über dieses Modell
External Hugging Face catalog record for optimum-intel-internal-testing/tiny-random-xlm-roberta. Library: pytorch. Popularity signal at import: 49,358 downloads and 0 likes.
Kurzinfo
- Hosted here
- 6 hosted of 11 listed
- Full repo upstream
- 14.2 MB
- Recommended file
- 9.09 MB · model.safetensors
- Format
- safetensors · BIN
- Downloads on Hugging Face
- 49,358
- File hashes
- Hashes recorded. Date not recorded.
Lizenz und Quelle
License: unknown
No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.
- License
- unknown
- Task
- general
- Hosted here
- 6 files, 9.55 MB
- Full repo upstream
- 14.2 MB
- Recommended file
- 9.09 MB · model.safetensors
- Files
- 6 hosted of 11 listed
- Download
- Download here (6 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- optimum-intel-internal-testing/tiny-random-xlm-roberta
FAQ
What is this model?
optimum-intel-internal-testing/tiny-random-xlm-roberta is an open-weights language model for general published by optimum-intel-internal-testing, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-xlm-roberta · pytorch
Can I use it commercially?
License: unknown. Check the upstream license text or ask the model author before commercial use.
How big is it?
Hosted here: 6 files, 9.55 MB. Full repo upstream: 14.2 MB. The recommended download, model.safetensors, is 9.09 MB.
What can I download here?
Hosted here: 6 files, 9.55 MB. Full repo upstream: 14.2 MB.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-optimum-intel-internal-testing-tiny-random-xlm-roberta/safety on Hugging Bay.
Will optimum-intel-internal-testing/tiny-random-xlm-roberta 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.