inclusively-classification download | Hugging Bay

Q: What is this model?

E-MIMIC/inclusively-classification is an open-weights language model for text classification published by E-MIMIC, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for text classification: E-MIMIC/inclusively-classification · transformers

Q: Can I use it commercially?

It is released under the cc-by-nc-sa-4.0 license. Commercial use is not allowed. cc-by-nc-sa-4.0: commercial use is not permitted; non-commercial adaptations require attribution and share-alike.

Q: How big is it?

Hosted here: 4 files, 443.1 MB. Full repo upstream: 885.9 MB. The recommended download, model.safetensors, is 442.8 MB.

Q: What can I download here?

Hosted here: 4 files, 443.1 MB. Full repo upstream: 885.9 MB. The original release is at https://huggingface.co/E-MIMIC/inclusively-classification.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-e-mimic-inclusively-classification/safety on Hugging Bay.

Q: Will E-MIMIC/inclusively-classification 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.

E-MIMIC

inclusively-classification

E-MIMIC/inclusively-classification

text classificationLicense: cc-by-nc-sa-4.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for text classification: E-MIMIC/inclusively-classification · transformers

View as JSON →

4 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	442.8 MB	`624a5d71…b8113b32` `624a5d71c4eaa9cc92080eeccd567fe05d9796b3ba2d1cf67c5ba017b8113b32`	Hosted	Baixar
`pytorch_model.bin`	442.9 MB	`f11f5dfe…dd606874` `f11f5dfedbc3c7bbb7ca7e3eea0fa23fa32cde1b349449bcbe683cf3dd606874`	Upstream only	File metadata
`training_args.bin`	2.99 KB	`bc383b56…f3496518` `bc383b5651db0bb264bad9740e8b854a6208441cb65120005c8af42af3496518`	Upstream only	File metadata
Tokenizer & config
`config.json`	890 bytes	`50f507c5…73bb67d2` `50f507c593e5744c06561356b49bf1f126ee9cff3aa5d9d13a85144d73bb67d2`	Hosted	Baixar
`tokenizer_config.json`	59 bytes	`4c052d60…3ec558ba` `4c052d60b505817149a29e88c5292d7779ddecfadbfc6208729e61403ec558ba`	Hosted	Baixar
`vocab.txt`	235.1 KB	`873dbed1…fa51e6d0` `873dbed1150738ae871995b5fc7ed04e7a3f5be0cb496c0219df4d3efa51e6d0`	Hosted	Baixar
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	3.03 KB	—	Upstream only	File metadata

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inclusively-classification

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