# Neo-11/tweet_sentiment

Model from Hugging Face for text classification: Neo-11/tweet_sentiment · transformers

## Facts

- Type: LLM
- Task: text-classification
- Framework: transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/Neo-11/tweet_sentiment
- Hosting: hosted (5 files)
- Files: 5 hosted of 73 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 5 files, 268.5 MB
- Full repo upstream: 269 MB
- Recommended file: 267.8 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-neo-11-tweet-sentiment/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 73
- Stars: 0
- Card completeness: 93%

## Description

External Hugging Face catalog record for Neo-11/tweet_sentiment. Task: text classification. Library: transformers. Base model: distilbert-base-uncased.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-classification
- Library: transformers
- Base model: distilbert-base-uncased
- Task categories: text-classification
- Metrics: accuracy, f1
- Model-index entries: tweet_sentiment
- File hints: 16 upstream file samples

## File Hints

- .gitattributes (1.5 KB)
- README.md (1.2 KB)
- config.json (615 B)
- model.safetensors (255 MB) LFS
- runs/Jul14_21-01-26_876364f9c4fd/events.out.tfevents.1720990887.876364f9c4fd.1584.0 (4.9 KB) LFS
- runs/Jul14_21-26-39_876364f9c4fd/events.out.tfevents.1720992400.876364f9c4fd.7668.0 (4.9 KB) LFS
- runs/Jul14_21-26-39_876364f9c4fd/events.out.tfevents.1720992811.876364f9c4fd.7668.1 (457 B) LFS
- runs/Jul14_21-42-41_876364f9c4fd/events.out.tfevents.1720993361.876364f9c4fd.7668.2 (5.1 KB) LFS
- runs/Jul14_21-42-41_876364f9c4fd/events.out.tfevents.1720994057.876364f9c4fd.7668.3 (457 B) LFS
- runs/Jul14_22-07-55_876364f9c4fd/events.out.tfevents.1720994876.876364f9c4fd.7668.4 (5.2 KB) LFS
- runs/Jul14_22-07-55_876364f9c4fd/events.out.tfevents.1720995796.876364f9c4fd.7668.5 (457 B) LFS
- runs/Jul14_22-31-40_876364f9c4fd/events.out.tfevents.1720996301.876364f9c4fd.7668.6 (5.1 KB) LFS

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-30T07:45:28.126Z.
- Open license detected as apache-2.0.
- Model-index metadata found for tweet_sentiment.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-neo-11-tweet-sentiment
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-neo-11-tweet-sentiment
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-neo-11-tweet-sentiment&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-neo-11-tweet-sentiment/decentralized-fallbacks