Comments (2)
we released 1B model but not the large model here: https://huggingface.co/spaces/nvidia/parakeet-tdt_ctc-1.1b
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Thanks, I have seen this. I was interested to know about Large-FastConformer(~120M) model trained with this config:
https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/fastconformer/long_fastconformer/fast-conformer-long_ctc_bpe.yaml
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Related Issues (20)
- Can we add emotions to the produced audio? HOT 1
- LM on Parakeet models HOT 3
- to support deepseekv2 HOT 3
- How to use a pre-trained model for cache-aware FastConformer-Hybrid model? HOT 3
- When Trying to import nlp collections in the Nemo Primer getting error "No Module named megatron"
- How to export SLUIntentSlotBPEModel to ONNX HOT 1
- issue about self attention with mask
- Converting megatron checkpoint to .nemo without the same environment
- Nemo container for Nemotron 340B inference fails pytorch_lightning import HOT 1
- Can you support DoRA? HOT 3
- Unable to reproduce cache aware streaming results for Conformer that were there for Fastconformer.
- Issue: TimeError Occurring During Training on node 16 or more
- Speaker Diarization goes haywire due to small segments of audio
- MCore slower than NeMo native implementation
- FSDP CPU offloading errors out due to device placements HOT 2
- Getting empty results from online streaming asr. Please help me!!!!! thanks a lot. HOT 1
- Failed to generate timestamp for parakeet-tdt-1.1b
- Citrinet CTC Decoder Alphabet size mismatch.
- Segmentation fault when fine-tuning Ambernet HOT 3
- Fastconformer-CTC crashing with Watchdog caught collective operation timeout HOT 2
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