setfit safetensors download (2.24 GB) | Hugging Bay

Q: What is this model?

automatedMotiveCoder/setfit is an open-weights language model for text classification published by automatedMotiveCoder, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: automatedMotiveCoder/setfit

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 12 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/automatedMotiveCoder/setfit.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-automatedmotivecoder-setfit/safety on Hugging Bay.

Q: Will automatedMotiveCoder/setfit 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.

automatedMotiveCoder

setfit

automatedMotiveCoder/setfit

Model details

text classificationLicense: mitSHA-256 recorded for 12 of 14 filessafetensors

Content controls: not assessed.

Listed for labeling text; for developers building text classifiers. Catalog sources: license, task.

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-automatedmotivecoder-setfit/model.safetensors",
    "model.safetensors",
)

Other ways

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

12 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors2.24 GB · 1 file Download · 2.24 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

12 hosted of 14 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	2.24 GB	`144d5cec…b381ced1` `144d5cec214de1f33c87d663a1706b5882f0cd8f342a274f44c97a83b381ced1`	Hosted	Herunterladen
Tokenizer & config
`1_Pooling/config.json`	297 bytes	`4e103b8e…907b3822` `4e103b8e2a31573ea88570523c2db4f13d34e09a26333e8a889268ed907b3822`	Hosted	Herunterladen
`config.json`	713 bytes	`c38a48db…06871900` `c38a48dbcbd6e4c66c71d251ce1708332cce3ecf515520d7443ed82506871900`	Hosted	Herunterladen
`config_sentence_transformers.json`	205 bytes	`79d5e68f…db847074` `79d5e68fea7dade4486795e3f6da17079b1d9e6da96e36162d5d6640db847074`	Hosted	Herunterladen
`config_setfit.json`	98 bytes	`1c6047ee…ead217fb` `1c6047ee09d48b8de372bcccff62d454ba82f39890270fb614700046ead217fb`	Hosted	Herunterladen
`sentence_bert_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Herunterladen
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Herunterladen
`special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Herunterladen
`tokenizer.json`	17.1 MB	`883b0371…0f137085` `883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085`	Hosted	Herunterladen
`tokenizer_config.json`	1.34 KB	`62a5ba98…79d31b36` `62a5ba9846d613fa26eba6cb75181b3d35bc832e2e8db3f5fa4a384d79d31b36`	Hosted	Herunterladen
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Herunterladen
`model_head.pkl`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	6.05 KB	`ff60a605…d4dae450` `ff60a60534737c3e7ab51bccd9100ff13485f6f2adc97254a9c5691ed4dae450`	Hosted	Herunterladen
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

Compare the result with the recorded SHA-256.

setfit

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