Text_Summarizer_Using_Transformers download | Hugging Bay

Q: 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

Q: 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.

Q: 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.

Q: 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.

Q: 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.

Q: 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.

ssarathi

Text_Summarizer_Using_Transformers

ssarathi/Text_Summarizer_Using_Transformers

Model details

summarizationLicense: mitSHA-256 recorded for 10 of 15 filessafetensors · PT · PTH · BIN

Content controls: not assessed.

Listed for summarizing text; for developers building summarization tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-ssarathi-text-summarizer-using-transformers/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

6 hosted of 15 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors558 MB · 1 file Download · 558 MB (1 file)

Open-file help

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

6 hosted of 15 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	557.9 MB	`abb08e1e…ce53c0f7` `abb08e1ef8dba7bee759f51e32bbf2a12e9fbe524d586955f192445ace53c0f7`	Hosted	Baixar
`optimizer.pt`	1.12 GB	`99da1ce4…7c3e60d0` `99da1ce44649f1eb0fd04ec0dba39f3c4348237cd3af5080a55d605a7c3e60d0`	Upstream only	File metadata
`rng_state.pth`	14.2 KB	`99c43bd4…c5332c2b` `99c43bd4c5dc0d7d9a99e8a433d7514b6f495573b87e2daced0c6fb8c5332c2b`	Upstream only	File metadata
`scheduler.pt`	1.06 KB	`93028d1f…178eabed` `93028d1fb94e1d4aa43e7b4d10fa63f40cb9a8f9bb360d602aed68e9178eabed`	Upstream only	File metadata
`training_args.bin`	5.5 KB	`24c6bc94…96e43c9b` `24c6bc94880cac7c848a4ab4deefbbf50efe1e4120fee68963b664f296e43c9b`	Upstream only	File metadata
Tokenizer & config
`config.json`	1.75 KB	`8777352d…9c6e1ff3` `8777352d2c11655383b38525fce665b755c7f456065554051302761b9c6e1ff3`	Hosted	Baixar
`generation_config.json`	305 bytes	`1268dd20…b5320024` `1268dd2031b3f6e0e2e4249f62f1f5b16605797ce178714fbce56928b5320024`	Hosted	Baixar
`merges.txt`	456.3 KB	—	Upstream only	File metadata
`special_tokens_map.json`	294 bytes	`7ca75224…e7010048` `7ca7522494e3ecbc577b5828ac180018c3281037bf9d096fb8d5b378e7010048`	Hosted	Baixar
`tokenizer.json`	3.56 MB	`6cc71cfb…1677ce50` `6cc71cfb3d3140cc4078ab7763570d077aae697a92225d21d6b182cb1677ce50`	Hosted	Baixar
`tokenizer_config.json`	1.33 KB	`8be45c4b…1811a78a` `8be45c4b12bf3cc52eaa48e35143d9b7e98d6d2d5cb358ce90d26a021811a78a`	Hosted	Baixar
`trainer_state.json`	2.39 KB	—	Upstream only	File metadata
`vocab.json`	798.3 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	2.02 KB	—	Upstream only	File metadata

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In the folder where you saved model.safetensors, run:

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Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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Text_Summarizer_Using_Transformers

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