Model reference · open weights
stt_ar_fastconformer_hybrid_large_pcd-mirror is an open-weight audio or speech model from dev-ahmedhany. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | dev-ahmedhany |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Runs with | nemo |
| Released | 2026-05-05 |
| Popularity | 689 downloads / month |
| Licence | Open weights |
About
This is a byte-exact mirror of NVIDIAs Arabic FastConformer hybrid Transducer-CTC model with Punctuation, Capitalization, and Diacritics output (Tashkeel).
This mirror exists for availability redundancy in case the upstream repo is renamed, gated, or removed. It is byte-identical to the upstream checkpoint and carries no modifications.
7f32349d952f42a28dce979ba73270aa2bbdfa89sha256sum stt_ar_fastconformer_hybrid_large_pcd_v1.0.nemo
d29d19d7c054a5fc010ac6815e9cbb0dd1b21a30e0a7f7f2982e1fecaf0c3e31 stt_ar_fastconformer_hybrid_large_pcd_v1.0.nemo
Verify after download:
huggingface-cli download dev-ahmedhany/stt_ar_fastconformer_hybrid_large_pcd_v1.0-mirror \
stt_ar_fastconformer_hybrid_large_pcd_v1.0.nemo --local-dir .
sha256sum stt_ar_fastconformer_hybrid_large_pcd_v1.0.nemo
# expected: d29d19d7c054a5fc010ac6815e9cbb0dd1b21a30e0a7f7f2982e1fecaf0c3e31
Original model and weights by NVIDIA. All credit for the model architecture, training, and weights belongs to NVIDIA. This mirror simply preserves bit-for-bit access to the upstream artifact.
If you use this model, please cite the original NeMo / FastConformer papers as listed on the upstream model card.
Identical to upstream:
import nemo.collections.asr as nemo_asr
m = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(
"dev-ahmedhany/stt_ar_fastconformer_hybrid_large_pcd_v1.0-mirror"
)
print(m.transcribe(["audio.wav"])[0].text)
For complete usage details, training data, evaluation WER per dataset, and limitations, see the upstream model card linked above.
This mirror is distributed under CC-BY-4.0, the same license as the upstream NVIDIA repository. You may use, redistribute, and modify under the terms of CC-BY-4.0 with proper attribution to NVIDIA.
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys stt-ar-fastconformer-hybrid-large-pcd-mirror for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (stt-ar-fastconformer-hybrid-large-pcd-mirror below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="stt-ar-fastconformer-hybrid-large-pcd-mirror" -F file=@audio.mp3
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.