inclusively-classification download | Hugging Bay

inclusively-classification

E-MIMIC/inclusively-classification

Model details

text classificationLicense: cc-by-nc-sa-4.0SHA-256 recorded for 6 of 8 filessafetensors · BIN

Content controls: not assessed.

Listed for labeling text; for developers building text classifiers. 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-e-mimic-inclusively-classification/model.safetensors",
    "model.safetensors",
)

Other ways

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

4 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors443 MB · 1 file Download · 443 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Run this model

The hosted files here are not a single-file GGUF, so there is no one-line run recipe yet. Open the file list to see exactly what is hosted.

Open the hosted files

Open the checked run record

Canonical evidence JSON Citation packet

inclusively-classification

Run this model

Cookies