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distilbert/distilbert-base-uncased-finetuned-sst-2-english

distilbert/distilbert-base-uncased-finetuned-sst-2-english is an open-weights language model for text classification under the apache-2.0 license (1.3 GB), added to Hugging Bay Jun 29, 2026.

About this download

distilbert-base-uncased-finetuned-sst-2-english. 1 file. Published by distilbert

How this works

To run a downloaded model you need the file and a runner program to open it. Searching and reading need no account.

Downloadable — the files passed our public gates and the download button is here today. That’s all it means — not safe, not guaranteed to run.

Checked on this Mac — the file’s fingerprint matches the published one, byte for byte. That proves it arrived unchanged — not that the model is safe.

Running locally — this device did the work: a real first reply was produced here — not on a server.

Keep the file

Download · 268 MB (1 file) saves to your Downloads folder

Run on a computer

On this page you get the files to download, a plain explanation of the model, and the checks that prove the files arrived unchanged.

To run a downloaded model you need the file and a runner app to open it.

What happens next
  1. Download the file (268 MB).
  2. To run a downloaded model you need the file and a runner program to open it.
  3. Then type a question.

model.safetensors · 268 MB

DETAILS

Checked. Ready to download.

Make sure it arrived whole. Usually under a minute

If the string it prints matches this one, you're holding exactly what we published:

7c39...b8aa

Think of the fingerprint below as the file's ID photo: a string unique to its exact bytes.

What this step does: it only prints an ID string so you can compare; it doesn't run anything or install anything.

On a Mac, the Terminal line below prints this file's SHA-256 fingerprint; it already contains your file's name and assumes the file is in your Downloads folder.

After the download finishes, paste it into Terminal and press Return.

Terminal shasum -a 256 ~/Downloads/model.safetensors

On a different computer?

On Windows, the PowerShell line below prints this file's SHA-256 fingerprint; it already contains your file's name and assumes the file is in your Downloads folder.

After the download finishes, paste it into PowerShell and press Enter.

PowerShell Get-FileHash -Algorithm SHA256 "$HOME\Downloads\model.safetensors"

From Command Prompt instead: certutil -hashfile "%USERPROFILE%\Downloads\model.safetensors" SHA256

PowerShell prints the same SHA-256 fingerprint in capital letters.

On Linux, the terminal line below prints this file's SHA-256 fingerprint; it already contains your file's name and assumes the file is in your Downloads folder.

After the download finishes, paste it into a terminal and press Enter.

Terminal sha256sum ~/Downloads/model.safetensors

File fingerprint (for experts)

7c3919835e442510166d267fe7cbe847e0c51cd26d9ba07b89a57b952b49b8aa

This check proves the file arrived unchanged. Not that the model is safe.

What we've checked:

  • License. Passed (apache-2.0)
  • Files hosted. 3 of 12 from the repository
What does ‘Checked’ mean?

Checked on this Mac — the file’s fingerprint matches the published one, byte for byte. That proves it arrived unchanged — not that the model is safe.

Other files (for experts)
  • .gitattributes · 399 bytes
  • README.md · 11 KB
  • config.json · 629 bytes
  • map.jpeg · 82 KB
  • added_tokens.json · 82 bytes
  • model.onnx · 268 MB
  • special_tokens_map.json · 125 bytes
  • pytorch_model.bin · 268 MB
  • rust_model.ot · 268 MB
  • tf_model.h5 · 268 MB
  • tokenizer_config.json · 48 bytes
Task
text classification
Size
268 MB hosted here (full repository: 1.3 GB)
Recommended file
804 MB (3 files)
Files
3 hosted of 12 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

distilbert/distilbert-base-uncased-finetuned-sst-2-english is an open-weights language model for text classification published by distilbert, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: distilbert/distilbert-base-uncased-finetuned-sst-2-english

Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

How big is it?

The total download is 1.3 GB; the recommended download, a 3-file weight set, is 804 MB.

What can I download here?

Hugging Bay hosts 3 of 12 files for this model, each with a published SHA-256 checksum. Hosted download size: 268 MB (full repository: 1.3 GB). The original release is at https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing — not a safety guarantee. 3 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-distilbert-distilbert-base-uncased-finetuned-sst-2-english/safety on Hugging Bay.

Will distilbert/distilbert-base-uncased-finetuned-sst-2-english 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.

About this artifact

External Hugging Face catalog record for distilbert/distilbert-base-uncased-finetuned-sst-2-english. Popularity signal at import: 3,622,899 downloads and 913 likes. Files are listed for discovery and verification context, but this Hugging Bay pilot has not mirrored or rescanned the remote blobs. Use the upstream Hugging Face links for download until an explicit mirror job is approved.

Hosted file inventory

Hosted file — the exact bytes are complete.. The immutable selected representation is byte-complete; runtime compatibility is not established.

Hosted files
3 of 12
Reviewed peer-assisted fallbacks
0
Trust bundle
Trust-bundle JSON
Review summary
Review-summary JSON
Distribution
Reviewed peer-fallback JSON

    Run status

    Detailed evidence for the selected file set

    This detail applies to the selected file set, not every file in the repository.

    Executable state
    complete-bytes
    Evidence timestamp
    2026-07-27T04:19:31.692Z
    Selected representation
    rep-f7802c49f18a0e64788bf486ff6a55410ca3df85d78c84723c5571e1325ac4dd
    Complete bytes
    yes
    Complete kit
    no
    Byte-integrity check
    not established — the hosted bytes are not yet matched to a signed upstream manifest
    Run ready
    not established
    Files
    View file metadata

    Bay Run

    Try It Now

    Run Bay Run's Sentiment Pin: binary POSITIVE / NEGATIVE polarity, not sarcasm or nuance. Provisional and unmeasured.

    Call Bay Run's run_pin MCP tool at https://run.huggingbay.xyz/mcp/ with Pin route_1c7472e940dc02517f5af93792bf07ee, or POST https://run.huggingbay.xyz/v1/run/route_1c7472e940dc02517f5af93792bf07ee. Served model: distilbert/distilbert-base-uncased-finetuned-sst-2-english · labels POSITIVE, NEGATIVE.

    run_pin arguments
    {
  "pin_id": "route_1c7472e940dc02517f5af93792bf07ee",
  "input": "This is wonderful."
}
    Copy agent call
    # 1. mint a $0 demo bearer (no signup)
TOKEN=$(curl -fsS -X POST https://run.huggingbay.xyz/oauth/token -H 'Content-Type: application/json' \
  -d '{"grant_type":"urn:bay-run:grant-type:demo","scope":"mcp:demo"}' | python3 -c 'import sys,json;print(json.load(sys.stdin)["access_token"])')
# 2. run the Pin (MCP run_pin) — the same next_call find_runnable and the search row return
curl -fsS -X POST https://run.huggingbay.xyz/mcp/ -H "Authorization: Bearer $TOKEN" \
  -H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"run_pin","arguments":{"pin_id":"route_1c7472e940dc02517f5af93792bf07ee","input":"This is wonderful."}}}'
# read decision.action first; the receipt in structuredContent is the proof of execution

    Exact live run contract JSON

    Download exact selected bytes

    • License: pass - apache-2.0
    • Provenance: pass - distilbert/distilbert-base-uncased-finetuned-sst-2-english
    • Scan: pass - passed
    • Hosted files: warn - 4/12 repository files hosted; selected representation evaluated separately
    • Byte manifest integrity: pass - selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)

    Machine-readable card

    Open interactive artifact page

    Evidence details

    Demand
    3.6M upstream downloads
    Trust
    Unknown
    Download completeness
    Hosted file — the exact bytes are complete.
    Run fit
    Exact selected bytes complete; runtime not established
    Scan status
    passed
    Executable state
    complete-bytes
    Evidence timestamp
    2026-07-27T04:19:31.692Z
    Declared license
    apache-2.0
    Pipeline
    text-classification
    Library
    transformers
    Task categories
    text-classification