Upload folder using huggingface_hub (#2)

- 2fb2eb210019129671c3bc7be42406452ac850670a6287c0966f5592e06b726e (3ddd223cf25fa138527a1d74a1a6a681a885a909)
- a32373792c49c65c4572ca8f06e30b9bffd1fd09f022fe531f2b5bb37dffbe44 (cb259f79538a7904fe313268ab80ad2ba73bcb35)

README.md

@@ -35,7 +35,10 @@ metrics:
 
 ![image info](./plots.png)
 
-These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json. Results may vary in other settings (e.g. other hardware, image size, batch size, ...).
+**Important remarks:**
+- The quality of the model output might slightly vary compared to the base model. There might be minimal quality loss.
+- These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
+- You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
 
 ## Setup
 
@@ -75,7 +78,7 @@ 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 ORIGINAL_segmind-SSD-1B-turbo-green-smashed before using this model.
+We follow the same license as the original model. Please check the license of the original model segmind/SSD-1B before using this model.
 
 ## Want to compress other models?
 

model/optimized_model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:681e06ea10b40fbe465f14851fcb13a8514290872fb0ab1c9bd9b65ed93b510c
-size 4470509741
+oid sha256:b56717ec864aedcd8d2fac0838b3a070af9a09dcb71963c3b2cee653c6f9a192
+size 4470510555