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 tests/collections/diffusion/test_diffusion_task_encoder.py from Respair/NeMo_Canary: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/Respair/NeMo_Canary/resolve/main/tests/collections/diffusion/test_diffusion_task_encoder.py
- Command line
-
hf download hf://Respair/NeMo_Canary/tests/collections/diffusion/test_diffusion_task_encoder.py
-
curl -L -o test_diffusion_task_encoder.py https://huggingface.co/Respair/NeMo_Canary/resolve/main/tests/collections/diffusion/test_diffusion_task_encoder.py
1.23 kB
| # Copyright (c) 2020-2025, NVIDIA CORPORATION. | |
| # | |
| # 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. | |
| import pytest | |
| from nemo.collections.diffusion.data.diffusion_taskencoder import cook_raw_images | |
| class TestTaskEncoder: | |
| def test_cook_raw_images(self): | |
| sample = {"jpg": "original_image_data", "png": "control_image_data", "txt": "raw_text_data"} | |
| processed_sample = cook_raw_images(sample) | |
| assert "images" in processed_sample | |
| assert "hint" in processed_sample | |
| assert "txt" in processed_sample | |
| assert processed_sample["images"] == sample["jpg"] | |
| assert processed_sample["hint"] == sample["png"] | |
| assert processed_sample["txt"] == sample["txt"] | |