An unmodified copy of AI4Bharat's ai4bharat/indic-conformer-600m-multilingual, a 600M-parameter hybrid CTC + RNNT Conformer for the 22 official languages of India. Mirrored by Diction Labs so Diction's speech-to-text services pull from a repository we control.
Every weight and code file is byte-identical to the upstream repository (LFS sha256 compared file by file on 2026-10-11). Only this README and the LICENSE file were added.
Model, training and code: AI4Bharat (IIT Madras). Upstream repository: https://huggingface.co/ai4bharat/indic-conformer-600m-multilingual. Please cite AI4Bharat's IndicVoices / IndicConformer work if you use it.
MIT, as released upstream. See LICENSE.
Same as upstream:
from transformers import AutoModel
import torch, torchaudio
model = AutoModel.from_pretrained("DictionLabs/indic-conformer-600m-multilingual", trust_remote_code=True)
wav, sr = torchaudio.load("audio.wav") # 16 kHz mono
print(model(wav, "hi", "ctc")) # or "rnnt"
Diction's server uses CTC decoding for Hindi and cuts audio into ~15 s windows: in our tests the model dropped words on continuous speech longer than about 18 s.
assets/rnnt_decoder.onnx 41 MBassets/ctc_decoder.onnx 23 MBassets/encoder.onnx 3 MBassets/joint_enc.onnx 3 MBassets/joint_pred.onnx 2 MBassets/joint_post_net_as.onnx 663.2 kBassets/joint_post_net_bn.onnx 663.2 kBassets/joint_post_net_brx.onnx 663.2 kBassets/joint_post_net_doi.onnx 663.2 kBassets/joint_post_net_gu.onnx 663.2 kBassets/joint_post_net_hi.onnx 663.2 kBassets/joint_post_net_kn.onnx 663.2 kBassets/joint_post_net_kok.onnx 663.2 kBassets/joint_post_net_ks.onnx 663.2 kBassets/joint_post_net_mai.onnx 663.2 kBassets/joint_post_net_ml.onnx 663.2 kBassets/joint_post_net_mni.onnx 663.2 kBassets/joint_post_net_mr.onnx 663.2 kBassets/joint_post_net_ne.onnx 663.2 kBassets/joint_post_net_or.onnx 663.2 kBassets/joint_post_net_pa.onnx 663.2 kBassets/joint_post_net_sa.onnx 663.2 kBassets/joint_post_net_sat.onnx 663.2 kBassets/joint_post_net_sd.onnx 663.2 kBassets/joint_post_net_ta.onnx 663.2 kBassets/joint_post_net_te.onnx 663.2 kBassets/joint_post_net_ur.onnx 663.2 kBassets/joint_pre_net.onnx 2.8 kB有文件？提交种子。
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