Comments (2)
hello @JRD971000 , yep i worked with the nvcr.io/nvidia/nemo:24.07 container and everything worked fine thank you for your response.
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Hi @SkanderBS2024, I see you are mounting. You are not using the NeMo container nvcr.io/nvidia/nemo:24.07
, and you are mounting the NeMo. I tested the conversion script in the nvcr.io/nvidia/nemo:24.07
, and it works fine. However, there is an update needed for the latest main, for which I have raised a PR. #10224. You can either checkout this PR or use the 24.07 nemo container. Thanks for reporting the issue!
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Related Issues (20)
- Tips for training Ecapa-TDNN speaker recognition model as fast as possible?
- Support LLAMA 3.1 in NeMo HOT 1
- AttributeError: 'dict' object has no attribute '_get_node_flag' HOT 1
- LazyNeMoIterator improperly duration handling for non-zero offset in nemo manifest file HOT 8
- STT_EN_FASTCONFORMER_TRANSDUCER_XLARG - Throws error for Tensor + List operation in confidence calculation HOT 1
- Getting TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'
- finetune nvidia/parakeet-tdt-1.1b results out of memeory even if with lower batch size. HOT 1
- TypeError: TransformerBlockSubmodules.__init__() got an unexpected keyword argument 'layer_norm' HOT 1
- Add CI Tests for Canary/AEDMultitask "lang_field" HOT 1
- Fine-Tuning Fast Conformer CTC on Other Language HOT 2
- How to Enable Spec Augmentation During Testing or Transcription HOT 1
- pytorch_lightning ResultCollection register_key is deprecated in 2.4.0 HOT 1
- [question] What text preprocessing have you used for ASR models stt-eu, stt-de, stt-es, stt-fr. Is it only nemo text norm? HOT 1
- TypeError: AggregateTokenizer.token_to_id() missing 1 required positional argument: 'lang_id' HOT 2
- Eval_beamsearch_ngram_ctc throws got an unexpected keyword argument 'logprobs' HOT 3
- FSDP is not integrated across code base HOT 2
- Out of RAM using 24.07 container HOT 4
- training resume is not working in 24.07 container HOT 2
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