Upload folder using huggingface_hub
#1
by
sharpenb
- opened
- .gitattributes +1 -0
- README.md +53 -0
- config.json +1 -0
- model +3 -0
- plots.png +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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model filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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library_name: pruna-engine
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thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
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metrics:
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- memory_disk
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- memory_inference
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- inference_latency
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- inference_throughput
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- inference_CO2_emissions
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- inference_energy_consumption
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</a>
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</div>
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<!-- header end -->
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# Simply make AI models cheaper, smaller, faster, and greener!
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## Results
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![image info](./plots.png)
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## Setup
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You can run the smashed model by **(1)** installing and importing the `pruna-engine` (version 0.2.5) package with the [Pypi instructions](https://pypi.org/project/pruna-engine/),**(2)** downloading the model files at `model_path`. This can be done using huggingface with this repository name or with manual downloading, and **(3)** loading the model, **(4)** running the model. You can achieve this by running the following code:
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```python
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from transformers.utils.hub import cached_file
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from pruna_engine.PrunaModel import PrunaModel # Step (1): install and import `pruna-engine` package.
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...
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model_path = cached_file("PrunaAI/REPO", "model") # Step (2): download the model files at `model_path`.
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smashed_model = PrunaModel.load_model(model_path) # Step (3): load the model.
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y = smashed_model(x) # Step (4): run the model.
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```
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## Configurations
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The configuration info are in `config.json`.
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## License
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We follow the same license as the original model. Please check the license of the original model before using this model.
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## Want to compress other models?
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- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
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- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
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config.json
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{"pruner": "None", "pruning_ratio": 0.0, "factorizer": "None", "quantizer": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compiler": "diffusers", "static_batch": true, "static_shape": true, "controlnet": "None", "unet_dim": 4, "max_batch_size": 1, "image_height": 768, "image_width": 768, "version": "2.1-base"}
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model
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fda5086ff4620171659d46e0c593a1d547a67f1530db3093476cab9ec04a7c2
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size 2337281240
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plots.png
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![]() |