FinTwitBERT safetensors download (439 MB) | Hugging Bay

FinTwitBERT

StephanAkkerman/FinTwitBERT

Model details

masked-language modelingLicense: mitSHA-256 recorded for 12 of 16 filessafetensors · PT · BIN · PTH

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-stephanakkerman-fintwitbert/model.safetensors",
    "model.safetensors",
)

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7 hosted of 16 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors439 MB · 1 file Download · 439 MB (1 file)

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Informações do modelo

FinTwitBERT is an open-weights language model for masked-language modeling. The primary file is model.safetensors (439 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 c0124a30f203. 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.

O que está incluído

7 hosted of 16 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Sobre este modelo

External Hugging Face catalog record for StephanAkkerman/FinTwitBERT. Task: fill mask. Library: transformers. Languages: en. Datasets referenced by card metadata: StephanAkkerman/stock-market-tweets-data, StephanAkkerman/financial-tweets, StephanAkkerman/crypto-stock-tweets. Base model: yiyanghkust/finbert-pretrain. Includes 1 model-card evaluation signal. Popularity signal at import: 72 downloads and 10 likes.

Informações básicas

Hosted here: 7 hosted of 16 listed
Full repo upstream: 1.76 GB
Recommended file: 439.2 MB · model.safetensors
Languages: en
Format: safetensors · PT · BIN · PTH
Downloads on Hugging Face: 84
File hashes: Hashes recorded. Date not recorded.

Licença e origem

License: mit

7 hosted of 16 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: at least 7 listed files; full count and size unknown
Full repo upstream: 1.76 GB
Recommended file: 439.2 MB · model.safetensors
Files: 7 hosted of 16 listed
Download: Download here (7 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Sep 24, 2026
Source: StephanAkkerman/FinTwitBERT

FAQ

What is this model?

StephanAkkerman/FinTwitBERT is an open-weights language model for masked-language modeling published by StephanAkkerman, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for fill mask: StephanAkkerman/FinTwitBERT · 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: at least 7 listed files; full count and size unknown. Full repo upstream: 1.76 GB. The recommended download, model.safetensors, is 439.2 MB.

What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 1.76 GB. The original release is at https://huggingface.co/StephanAkkerman/FinTwitBERT.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-stephanakkerman-fintwitbert/safety on Hugging Bay.

Will StephanAkkerman/FinTwitBERT 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.