Text_Summarizer_Using_Transformers download | Hugging Bay

ssarathi

Text_Summarizer_Using_Transformers

ssarathi/Text_Summarizer_Using_Transformers

summarizationLicense: mitHashes recordedsafetensors · PT · PTH · BIN

Content controls: not assessed.

Model from Hugging Face for summarization: ssarathi/Text_Summarizer_Using_Transformers

View as JSON →

模型信息

Text_Summarizer_Using_Transformers is an open-weights language model for summarization. The primary file is model.safetensors (558 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is abb08e1ef8db. 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.

包含内容

6 hosted of 15 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

关于此模型

External Hugging Face catalog record for ssarathi/Text_Summarizer_Using_Transformers. Task: summarization. Library: unknown. Languages: en. Datasets referenced by card metadata: cnn_dailymail. Popularity signal at import: 17 downloads and 0 likes.

基本信息

Hosted here: 6 hosted of 15 listed
Full repo upstream: 1.68 GB
Recommended file: 557.9 MB · model.safetensors
Languages: en
Format: safetensors · PT · PTH · BIN
Downloads on Hugging Face: 17
File hashes: Hashes recorded. Date not recorded.

许可证与来源

License: mit

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: MIT. Free to use and share, keep the credit notice
Task: summarization
Hosted here: 6 files, 561.5 MB
Full repo upstream: 1.68 GB
Recommended file: 557.9 MB · model.safetensors
Files: 6 hosted of 15 listed
Download: Download here (6 hosted files)
Added to Hugging Bay: Sep 25, 2026
Updated at source: Sep 25, 2026
Source: ssarathi/Text_Summarizer_Using_Transformers

FAQ

What is this model?

ssarathi/Text_Summarizer_Using_Transformers is an open-weights language model for summarization published by ssarathi, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for summarization: ssarathi/Text_Summarizer_Using_Transformers · unknown

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: 6 files, 561.5 MB. Full repo upstream: 1.68 GB. The recommended download, model.safetensors, is 557.9 MB.

What can I download here?

Hosted here: 6 files, 561.5 MB. Full repo upstream: 1.68 GB. The original release is at https://huggingface.co/ssarathi/Text_Summarizer_Using_Transformers.

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-ssarathi-text-summarizer-using-transformers/safety on Hugging Bay.

Will ssarathi/Text_Summarizer_Using_Transformers 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.