Downloads · 30 days
0
AbijahKaj/parakeet-tdt-110m-web
parakeet-tdt-110m-web is a automatic speech recognition model from AbijahKaj. Use it when you need speech turned into text. The card lists the license as cc-by-4.0.
Browser-optimized SafeTensors export of nvidia/parakeet-tdtctc-110m.
Downloads · 30 days
0
Access
Public
Updated Apr 28, 2026
Parameters
115M
229 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors229 MB · 100%
From the Hugging Face model README
Browser-optimized SafeTensors export of nvidia/parakeet-tdt_ctc-110m.
| Property | Value |
|---|---|
| Base model | nvidia/parakeet-tdt_ctc-110m |
| Architecture | FastConformer-TDT+CTC hybrid (17 layers, d_model=512) |
| Parameters | ~110M |
| Decoder | Token-and-Duration Transducer (TDT) — 2-5× faster than RNNT |
| Language | English |
| Weights format | SafeTensors, float16 (~220 MB) |
| Vocab size | 1025 tokens (SentencePiece BPE) |
| Mel bands | 80 |
| TDT durations | [0, 1, 2, 3, 4] |
| Context | Full attention [-1, -1] — offline/batch mode |
model.safetensors — all weights in float16model_config.json — architecture hyperparametersvocab.json — token ID → text mappingconst base = 'https://huggingface.co/AbijahKaj/parakeet-tdt-110m-web/resolve/main';
const config = await fetch(`${base}/model_config.json`).then(r => r.text());
const vocab = await fetch(`${base}/vocab.json`).then(r => r.text());
const weights = await fetch(`${base}/model.safetensors`).then(r => r.arrayBuffer());
await recognizer.loadFromBuffers(weights, config, vocab);
Converted from the original NeMo checkpoint using:
python tools/export_nemo_to_safetensors.py \
--model nvidia/parakeet-tdt_ctc-110m \
--output-dir exported/parakeet-tdt-110m
This is a format conversion (NeMo → SafeTensors fp16) of NVIDIA's original model. No fine-tuning or weight modification was performed. All credit for the model architecture and training goes to NVIDIA. See the original model card for full details, benchmarks, and license terms.
License: CC-BY-4.0 (inherited from the original model)