Comments (3)
55 minutes is high for fastconformer models with full attention.
Could you try with this model: https://huggingface.co/nvidia/parakeet-tdt_ctc-1.1b
from nemo.
Thank you, will try this out.
By the way as per the documentation in hugging face under which license does this and other parakeet models (rnnt) and come under? It says cc by 4.0 does this grant it commercial use?
from nemo.
yes, cc-by-4.0 grants commercial usage
from nemo.
Related Issues (20)
- Issue with pip installing on windows due to youtokentome dependency HOT 1
- Tokenizer suggestion for fine tuning cache aware streaming model HOT 2
- Titanet-L Augmentation HOT 4
- Not found file "convert_mistral_hf_to_nemo.py" in /opt/NeMo/scripts/checkpoint_converters/ for Convert Mistral
- Precision Problem between nemo model and hugging face model HOT 2
- Llama2 70B SFT with FSDP failing HOT 2
- training config used for training stt_en_quartznet15x5 HOT 2
- llama2 training hangs when pp_size > 1 HOT 2
- Integration of Turn-Taking Models into Nemo Framework for Enhanced Realistic Conversations
- FileNotFoundError: Model stt_fa_fastconformer_hybrid_large was not found. HOT 6
- [Feature] Add Support on Multiple Metrics Reporting during Training Progress for Validation
- checkpoints not saved due to wrong loss comparison?
- when "write_predictions_to_file" is true,generate will fail。 HOT 2
- "RuntimeError: start (4) + length (1) exceeds dimension size (4)." when running cache aware streaming inference
- slow validation process HOT 2
- Optimizing Learning Rate Parameters in Model Fine-tuning
- AUDIO FILE SIZE for fine tuning STT En FastConformer Hybrid Transducer-CTC Large Streaming Multi HOT 1
- `EncDecCTCModel.transcribe(audio=...)` changed to `EncDecCTCModel.transcribe(paths2audio_files=...)` HOT 7
- Enormous number of `.nemo` checkpoints produced in training HOT 4
- [Conversion] How to convert Finetuned T5 checkpoint ended with `.ckpt` to `.nemo` checkpoint with NeMo toolkit?
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from nemo.