HoogBERTa safetensors download (575 MB) | Hugging Bay

HoogBERTa

lst-nectec/HoogBERTa

Model details

masked-language modelingLicense: mitSHA-256 recorded for 6 of 8 filessafetensors · BIN

Content controls: not assessed.

Listed for predicting masked text; for developers working with masked language models. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-lst-nectec-hoogberta/model.safetensors",
    "model.safetensors",
)

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

Selected downloadmodel.safetensors575 MB · 1 file Download · 575 MB (1 file)

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Model facts

HoogBERTa is an open-weights language model for masked-language modeling. The primary file is model.safetensors (575 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is a1c202b73199. 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.

What's included

5 hosted of 8 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for lst-nectec/HoogBERTa. Task: fill mask. Library: transformers. Languages: th. Datasets referenced by card metadata: best2009, scb_mt_enth_2020, oscar, wikipedia. Popularity signal at import: 51 downloads and 3 likes.

Quick facts

Hosted here: 5 hosted of 8 listed
Full repo upstream: 1.15 GB
Recommended file: 574.6 MB · model.safetensors
Languages: th
Format: safetensors · BIN
Downloads on Hugging Face: 497
File hashes: Hashes recorded. Date not recorded.

License & source

License: mit

5 hosted of 8 listed

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Upstream source →

See the JSON record →

License: MIT. Free to use and share, keep the credit notice
Task: masked-language modeling
Hosted here: 5 files, 578 MB
Full repo upstream: 1.15 GB
Recommended file: 574.6 MB · model.safetensors
Files: 5 hosted of 8 listed
Download: Download here (5 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Sep 24, 2026
Source: lst-nectec/HoogBERTa

FAQ

What is this model?

lst-nectec/HoogBERTa is an open-weights language model for masked-language modeling published by lst-nectec, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for fill mask: lst-nectec/HoogBERTa · transformers

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: 5 files, 578 MB. Full repo upstream: 1.15 GB. The recommended download, model.safetensors, is 574.6 MB.

What can I download here?

Hosted here: 5 files, 578 MB. Full repo upstream: 1.15 GB. The original release is at https://huggingface.co/lst-nectec/HoogBERTa.

File checks and computer fit

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-lst-nectec-hoogberta/safety on Hugging Bay.

Will lst-nectec/HoogBERTa 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.