Instructions to use Respair/NeMo_Canary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Respair/NeMo_Canary with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Download nemo/core/optim/__init__.py from Respair/NeMo_Canary: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/Respair/NeMo_Canary/resolve/main/nemo/core/optim/__init__.py
- Command line
-
hf download hf://Respair/NeMo_Canary/nemo/core/optim/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Respair/NeMo_Canary/resolve/main/nemo/core/optim/__init__.py
1.33 kB
| # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from nemo.core.optim.adafactor import Adafactor | |
| from nemo.core.optim.adan import Adan | |
| from nemo.core.optim.lr_scheduler import ( | |
| CosineAnnealing, | |
| InverseSquareRootAnnealing, | |
| NoamAnnealing, | |
| PolynomialDecayAnnealing, | |
| PolynomialHoldDecayAnnealing, | |
| SquareAnnealing, | |
| SquareRootAnnealing, | |
| T5InverseSquareRootAnnealing, | |
| WarmupAnnealing, | |
| WarmupHoldPolicy, | |
| WarmupPolicy, | |
| prepare_lr_scheduler, | |
| ) | |
| from nemo.core.optim.mcore_optim import McoreDistributedOptimizer | |
| from nemo.core.optim.novograd import Novograd | |
| from nemo.core.optim.optimizer_with_main_params import MainParamsOptimizerWrapper | |
| from nemo.core.optim.optimizers import get_optimizer, parse_optimizer_args, register_optimizer | |