Emotionality_binary safetensors download | Hugging Bay

Q: What is this model?

ajrayman/Emotionality_binary is an open-weights language model for text classification published by ajrayman, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for text classification: ajrayman/Emotionality_binary · transformers

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: at least 5 listed files; full count and size unknown. Full repo upstream: 741.1 MB. The recommended download, model.safetensors, is 737.7 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 741.1 MB. The original release is at https://huggingface.co/ajrayman/Emotionality_binary.

Q: 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-ajrayman-emotionality-binary/safety on Hugging Bay.

Q: Will ajrayman/Emotionality_binary 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.

ajrayman

Emotionality_binary

ajrayman/Emotionality_binary

text classificationLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for text classification: ajrayman/Emotionality_binary · transformers

View as JSON →

5 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	737.7 MB	`a2da8922…8fa350d0` `a2da89228feeb8ab1bd8033058e058e9fa92026e3c7efead9a4597628fa350d0`	Hosted	Download
`training_args.bin`	4.78 KB	`bc1b8eea…b85d0021` `bc1b8eea5956684b0bcb15bf865265a0c34733b571bdf9b5721e2c94b85d0021`	Upstream only	File metadata
Tokenizer & config
`config.json`	880 bytes	`df57ebcb…37ca54a8` `df57ebcb3faa470480d97332be4732292a7a8bcb656d8a2098bde5ef37ca54a8`	Hosted	Download
`merges.txt`	456.3 KB	—	Upstream only	File metadata
`tokenizer.json`	2.11 MB	`33cc637c…e0410e03` `33cc637cbb5de97839ed38d29d260e1f00b04f7e1458b01d94297a14e0410e03`	Hosted	Download
`tokenizer_config.json`	1.22 KB	`cab32109…a6fea68c` `cab32109624013c709099c929de7ae9ddc2abb8905225a9d5373c674a6fea68c`	Hosted	Download
`vocab.json`	798.3 KB	—	Upstream only	File metadata
`special_tokens_map.json`	280 bytes	`06e405a3…6318067f` `06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f`	Hosted	Download
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.84 KB	—	Upstream only	File metadata

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shasum -a 256 -- 'model.safetensors'

Linux

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Emotionality_binary

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