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# What does this PR do ?
Fix missing import in a non-CUDA environment.
**Collection**: ASR collection
# Changelog
Fix missing import when running in a non-CUDA environment.
# Usage
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Compered inference result with the same input tensor.
Found unexplainably high deviations between the original and exported model inference results.
```
import onnx
from onnx import checker
import onnxruntime
import torch
import nemo
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} | # What does this PR do ?
Fix transribe function in EncDecHybridRNNTCTCModel.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add variables for transcribe invocation if use_rnnt_decoder.
- Change name of variable (logits_len to encoded_len).
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Gradient overflow. Skipping step, loss scaler 0 reducing loss scale to 0.0
Gradient overflow. Skipping step, loss scaler 0 reducing loss scale to 0.0
and it gives
ZeroDivisionError: float division by zero
**Pytorch Lighting Parameters**
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# What does this PR do ?
adds fast conformer config files and docs
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
With the changes in https://github.com/NVIDIA/NeMo/pull/5684, I observe that GPT always sets `overlap_param_sync=True`. This PR allows the user to manually override that option, which now `False` by default.
**Collection**: NLP
# Changelog
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# What does this PR do ?
Adds a paragraph with some basic information about the SSL FastPitch model. Will add more as the model is finalized and the paper released.
**Collection**: TTS
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
# ... | {
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} | Signed-off-by: Abhinav Khattar <aklife97@gmail.com>
# What does this PR do ?
Fix space issue in prompt
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
This PR adds a convolution-invariant SDR loss for audio-to-audio tasks.
Reference:
[C. Boeddeker et al., Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation, 2021](https://arxiv.org/abs/2011.15003)
**Collection**: ASR
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This PR adds the following functionality for Megatron GPT models.
1. Disable biases.
2. Add different activation functions - geglu, swiglu, reglu, squared relu
3. Different transformer layer configs - pre-ln, post-ln, normformer.
4. RoPE
5. Disable both hidden and attention dropout.
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} | Signed-off-by: nithinraok <nithinrao.koluguri@gmail.com>
# What does this PR do ?
Fix Summary name {} is illegal; using {} instead warning
**Collection**: [ASR]
# Changelog
- replace @ with _
# Before your PR is "Ready for review"
**Pre checks**:
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Update documentation for VITS
**Collection**: [TTS]
**PR Type**:
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- [ ] Bugfix
- [x] Documentation
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/... | {
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} | null | null | null | **Describe the bug**
When running multi-GPU training for TTS model VITS with standard config for LJSpeech dataset, the training stops after global step 97000 with an exception. Also there is a warning at the beginning of the training about `Grad strides do not match bucket view strides`.
```
... <snip>
[NeMo ... | {
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} | null | null | null | Hi team,
I am using Riva with model TTS FastPitch+HifiGan. I see in the command
riva-build speech_synthesis has parameters:
[--denoiser.max_sequence_idle_microseconds DENOISER.MAX_SEQUENCE_IDLE_MICROSECONDS]
[--denoiser.max_batch_size DENOISER.MAX_BATCH_SIZE]
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# What does this PR do ?
```
added backward compatibility and fixed relevant unit tests.
```
**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
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**Collection**: [Note which collection this PR will affect]
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update container info in readme
**Collection**: core
# Changelog
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# What does this PR do ?
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added backward compatibility and fixed relevant unit tests.
```
**Collection**: [Note which collection this PR will affect]
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Add a one line overview of what this PR aims to accomplish.
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Add LDDL data loader support to Megatron Bert
**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
Removing `for statement` and optimizing `getKneighborsConnections`
# Changelog
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```
import nemo
import nemo.collections.asr as nemo_asr
vad_model = nemo_asr.models.EncDecClassificationModel.from_pretrained('vad_marblenet')
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# What does this PR do ?
Fix Summary name {} is illegal; using {} instead warning
**Collection**: [ASR]
# Changelog
- replace @ with _
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor gui... | {
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I am getting different diarization results when I modify the codec and bitrate of a video and then convert that into an audio file.
**Steps/Code to reproduce bug**
Take any yt video
Download in 2 different resolutions(1080p and 480p)
Convert into audio file and run speaker diarization.
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Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# What does this PR do ?
This PR adds a script for evaluation of audio-to-audio metrics.
It is similar to `speech_to_text_eval.py`
This scripts depends on the `pr... | {
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# What does this PR do ?
adds fast conformer config files and docs
**Collection**: [Note which collection this PR will affect]
ASR
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- Add specific line by line info of high level changes in this PR.
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} | # What does this PR do ?
Update Fastpitch energy bug
**Collection**: TTS
# Changelog
- Update Fastpitch w/ energy during training
# Usage
**PR Type**:
- [x] Bugfix
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
Added LJSpeech model to list_available_models
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# Changelog
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- [ ] New Feature
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} | null | null | null | Hello,
I would like to fine-tune the vad multilingual marblenet model using my custom speaker diarization dataset. At the moment, I read the following tutorials:
1. https://colab.research.google.com/github/NVIDIA/NeMo/blob/r1.0.0rc1/tutorials/asr/06_Voice_Activiy_Detection.ipynb#scrollTo=Z7FxGpSE_FyM
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The hyperlink to the examples page is unfortunately pointed at update_readme_into branch(which does not exist anymore) instead of the main branch
**Steps/Code to reproduce bug**
Click on the hyperlink in
For advanced users that want to train NeMo models from scratch or finetune existing ... | {
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Adds config files for Fast Conformer
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Two config files and description of Fast Conformer in models.html
# Usage
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**Collection**: [Docs]
# Changelog
- Adds papers from ASR, TTS, TN/ITN, and SD
# Before your PR is "Ready for review"
**Pre checks**:
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# What does this PR do ?
Update the font used in the NeMo website.
**Collection**: [Docs]
# Changelog
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# Before your PR is "Ready for review"
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**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
```
AudioToCharWithPriorAndPitchDataset is deprecated. Please choose TTSDataset.
```
**Collection**: [Note which collection this PR will affect]
# Changelog
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when I run the following tutorial on my Windows 10 PC (Python 3.10.5): https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/ASR_with_SpeakerDiarization.ipynb
Then I get at the step "Run diarization with the extracted word timestamps":
`diar_hyp, diar_score = asr_diar_offline.run_diarizat... | {
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} | # What does this PR do ?
Fixes a bug in the tokenizer/data loader of the Hybrid ASR models.
# Changelog
The dataloader method was missing from the BPE version of the hybrid ASR model.
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
```
files are not closed so that memory may leak.
```
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
*... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | Bumps [setuptools](https://github.com/pypa/setuptools) from 59.5.0 to 65.5.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pypa/setuptools/releases">setuptools's releases</a>.</em></p>
<blockquote>
<h2>v65.5.1</h2>
<p>No release notes provided.</p>
<h2>v65.5.0</h2>
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} | # What does this PR do ?
GPT eval changes
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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# Add a code snippet demonstrating how to use this
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} | Signed-off-by: Yang Zhang <yangzhang@nvidia.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Fixes a bug in the tokenizer/data loader of the Hybrid ASR models.
# Changelog
The dataloader method was missing from the BPE version of the hybrid ASR model.
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
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Hello, I am trying to load a `.nemo` checkpoint file into NeMo's `MegatronBertModel()` instance using the `restore_from()` method as shown below. The tokenizer file used is the BertWordPiece tokenizer pretrained for this task. My code is as shown below.
```python
from nemo.collections.nlp.m... | {
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**A clear and concise description of what the bug is.**
The Readme's for the currently supported TTS models are outdated. E.g. there is no hint on that now VITS is supported, nor how SSL-Fastpitch is to be used and how it improves/deviates from the normal Fastpitch model.
**Plea... | {
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} | # What does this PR do ?
- move settings from old-style `setup.cfg` to `pyproject.toml` (recommended by most of the tools)
- remove deprecated `pytest-runner` according to the [documentation](https://github.com/pytest-dev/pytest-runner#deprecation-notice)
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Due to the necessity to adapt to an existing codebase, I am not runnin... | {
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} | # What does this PR do?
Supports:
```python
from nemo.collections.asr.models import NeuralDiarizer
diarizer = NeuralDiarizer.from_pretrained(model_name='diar_msdd_telephonic')
annotation = diarizer("an4_diarize_test.wav")
print(annotation.to_rttm())
```
User can change the device:
```python
impo... | {
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I took a multilingual SSL pretrained model and wanted to fine-tune it for ASR task on english and hindi together at once. I used a tokenizer that contains both English and Hindi manifest.
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- Update blog posts in 2022
# Before your PR is "Ready for review"
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add new chinese NGC model cards that improve with polyphone disambiguation.
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} | # What does this PR do ?
Fixes gpu hang caused by incompatible shapes during loss mean broadcast when binary head is on. This may not be the cleanest solution but I am making a draft PR for awareness of the issue.
**Collection**: NLP
# Changelog
- This adds an if statement to broadcast an shape [3] zeros te... | {
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I am using NeMo for my Portuguese language transcriber and I have great results, far superior to other engines, congratulations on the job.
Now I'm working with NeMo to use voice authentication, in my scenario I'm using phone call audio as a base, in 8K and with background noise. I tested all the pre-trained ... | {
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I am fine-tuning an ASR model (the English Conformer Transducer) and encountering the following error:
```log
2023-02-03 14:46:28 | numba.cuda.cudadrv.driver.CudaAPIError: [1] Call to cuLaunchKernel results in CUDA_ERROR_INVALID_VALUE |
-- | -- | --
| | 2023-02-03 14:46:28 | raise CudaAPIError(ret... | {
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Hi team, when I follow the NeMo Megatron [tutorial](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/gpt/gpt_training.html) to test megatron_gpt_pretraining script on 8 A100 devices, I encountered unexpected result when pipeline parallelism is enabled. The re... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5927 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5927/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5927/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5927/events | https://github.com/NVIDIA/NeMo/pull/5927 | 1,571,946,824 | PR_kwDOC_bI7s5JToll | 5,927 | Draft: support interface for p2p communication overlap and using batched p2p communication | {
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} | # What does this PR do ?
Add an interface to support P2P communication overlap with compute kernels. P2P communication overlap works only with interleaved pipelining.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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I'm trying to run this notebook: https://github.com/NVIDIA/NeMo/blob/v1.0.2/tutorials/nlp/Entity_Linking_Medical.ipynb
A few pip dependency make problems but doesn't stop the executions, but then later one cell has a problem with the tensorboard module.
This cell:
```py
# Initialize the trai... | {
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} | # What does this PR do ?
Adds alignment extraction for all rnnt beam algorithms
**Collection**: [ASR]
# Changelog
- Adds support for TSD, ALSD and mAES alignment extraction
- Adds unittest that downloads a small model and runs on AN4 test set to compute alignments from greedy and beam search algorithms
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I *think* this would be a correct way to obtain them but just wanted to double check
-(kenlm.score(encoded_text) * alpha -... | {
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https://github.com/NVIDIA/NeMo/tree/main/nemo/collections/asr/parts/utils)/speaker_utils.py
In this file gc is not imported, therefore while performing clustering without cuda, its showing error that gc is not imported
**Steps/Code to reproduce bug**
By adding import statement we can fi... | {
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} | Signed-off-by: ekmb <ebakhturina@nvidia.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Adds GPT support for BF16/FP16 gradient reductions, with embedding grad reductions in FP32.
**Collection**: NLP
# Changelog
- Wrapper for distributed Adam optimizer separately optimizes any parameters that require explicit FP32 gradients, e.g. embeddings.
# Usage
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# What does this PR do ?
Fixes a bug with saving Nemo models using model.save_to()
**Collection**: core
# Changelog
- Changed some ordering in nemo/core/connectors/save_restore_connector.py
# Usage
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This PR updates the GPT pretraining script to use 'spawn' multiprocessing.
This removes the CUDA init error that is seen sometimes on clusters but needs some testing.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
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# What does this PR do ?
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**Collection**: [Core]
# Changelog
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# What does this PR do ?
Ported Megatron-LM "Rotary Positional Encoding" (RoPE) implementation for NeMo GPT.
**Collection**: GPT
# Changelog
Add option to use 'rotary' positional encoding in the config - making it as default, instead of "learned_absolute" p... | {
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Pin `isort` version. Use `>5.1.0`, `<6.0.0`, as suggested by the documentation https://pycqa.github.io/isort/docs/major_releases/release_policy.html
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} | # What does this PR do ?
Fixes #5912
**Collection**: asr
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Moves the MCD DTW data tarball to AWS instead of storing it in NeMo.
Paths tested locally again.
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This PR fixes an edge case where a batch may contain more tokens than allowed by `tokens-in-batch`
**Collection**: NLP
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# What does this PR do ?
Corrects the documentation of RNNT and Hybrid CTC RNNT models
**Collection**: [ASR]
# Changelog
- Fix docstring for two models
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contribut... | {
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# What does this PR do ?
Explicitly sets the providers parameter when instantiating InferenceSession with onnxruntime.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | null | null | null | **Problem Description -> Trying to load the GatorTron model checkpoint into a pretrained MegatronBERT model**
Hi. I have the `.nemo` file for the Gatortron model which I downloaded from [here](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/gatortron_og/files) and I was looking to load this into a pret... | {
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