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Update README.md

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Sourab Mangrulkar
2023-01-03 23:13:40 +05:30
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@@ -66,7 +66,7 @@ GPU memory and training times required by different settings during training are
Hardware: Single A100 80GB GPU with CPU RAM above 64G
| Model | Full Finetuning | PET-LoRA |
| --------- | ---- | ---- | ---- |
| --------- | ---- | ---- |
| CompVis/stable-diffusion-v1-4 | 66.4GB GPU / 3.97GB CPU / 22 minutes | 15.5GB GPU / 3.84GB CPU / 5.5 minutes |
@@ -182,6 +182,8 @@ Use 🤗 Accelerate for inferencing on consumer hardware with small resources.
### Example of PET model inference using 🤗 Accelerate's Big Model Inferencing capabilities
Example is provided in `~examples/causal_language_modeling/pet_lora_clm_accelerate_big_model_inference.ipynb`.
## Models support matrix