Downloads · 30 days
15
16% of all-time downloads
fdt-disfluency-mini-11m
stillerman/fdt-disfluency-mini-11m
fdt-disfluency-mini-11m is a token classification model from stillerman. Use it when you need labels on individual words, such as names. It is set up for transformers.js. The card lists the license as apache-2.0.
Disfluency deletion tagger for live speech transcripts: tags every whitespace word KEEP / DELETE / KEEPSTRIPCOMMA / KEEPCAPITALIZE, then a ~15-line reconstruction turns tags into cleaned text. Deletion-only by constru…
All-time downloads
96
Public
Parameters
11.1M
55.7 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors44.4 MB · 78%
At a glance
- Task
- Token Classification
- Library
- transformers.js
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026
- SHA
- 677a8a0c
Try a prompt
Model card
From the Hugging Face model README
stillerman/fdt-disfluency-mini-11m
Disfluency deletion tagger for live speech transcripts: tags every
whitespace word KEEP / DELETE / KEEP_STRIP_COMMA / KEEP_CAPITALIZE,
then a ~15-line reconstruction turns tags into cleaned text. Deletion-only by
construction — it cannot rephrase, hallucinate, or alter names and numbers.
- Architecture: BERT L4/H256 (11.1M params), v1 data mix
- Val metrics: exact-match 0.9065, DELETE-F1 0.9854
- Training data: synthetic disfluency injection over conversational corpora — see stillerman/fdt-disfluency-synthetic
onnx/model_quantized.onnx(int8) is ready for transformers.js (device: "webgpu",dtype: "q8"); runs at ~10–50 ms per utterance in-browser.- ⚠️ Trained partly on DailyDialog (CC BY-NC-SA): treat as research artifact, not for commercial deployment as-is.
Trained on a DGX Spark as part of the FluencyAI digital-twin project.
- Task
- Token Classification
- Library
- transformers.js
- Type
- bert
- License
- apache-2.0
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026