Upload folder using huggingface_hub (#1)

- c7a68814bf49fc324cba26b35ad6b3704c2b6a43c7d6b8e76d79d745aa14d065 (851e46a7f433d5aa0f472b0e118411f1e85271bc)
- 4151a1ca76b22c8fd3fa602695587cb5382e17ccb1f884f6ffb22f4d9e631445 (68a105086a889700a333f030631c71ec10f52d3e)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,59 @@
+---
+license: apache-2.0
+library_name: pruna-engine
+thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
+metrics:
+- memory_disk
+- memory_inference
+- inference_latency
+- inference_throughput
+- inference_CO2_emissions
+- inference_energy_consumption
+---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+    <a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
+        <img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+    </a>
+</div>
+<!-- header end -->
+
+# Simply make AI models cheaper, smaller, faster, and greener!
+
+## Results
+
+![image info](./plots.png)
+
+## Setup
+
+You can run the smashed model by:
+1. Installing and importing the `pruna-engine` (version 0.2.9) package. Use `pip install pruna --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com` for installation. See [Pypi](https://pypi.org/project/pruna-engine/) for detailed on the package.
+2. Downloading the model files at `model_path`. This can be done using huggingface with this repository name or with manual downloading.
+3. Loading the model
+4. Running the model. 
+
+You can achieve this by running the following code:
+
+```python
+from transformers.utils.hub import cached_file
+from pruna_engine.PrunaModel import PrunaModel  # Step (1): install and import `pruna-engine` package.
+
+...
+model_path = cached_file("PrunaAI/REPO", "model")  # Step (2): download the model files at `model_path`.
+smashed_model = PrunaModel.load_model(model_path)  # Step (3): load the model.
+y = smashed_model(x)  # Step (4): run the model.
+```
+
+## Configurations
+
+The configuration info are in `config.json`.
+
+## License
+
+We follow the same license as the original model. Please check the license of the original model before using this model.
+
+## Want to compress other models?
+
+- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
+- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).

config.json

@@ -0,0 +1 @@
+{"pruner": "None", "pruning_ratio": "None", "factorizer": "None", "quantizer": "None", "n_quantization_bits": 16, "output_deviation": 0.0, "compiler": "diffusers", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "max_batch_size": 1, "image_height": 768, "image_width": 768, "version": "1.5", "scheduler": "LCMScheduler", "num_inference_steps": 4, "tokenizer_name": "placeholder"}

model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5e2279249f927e18c0e73d52b808950456630aea49d4c23a1c4404a832a3c8b
+size 7938814248