Update README.md

NielsRogge · May 24, 2023 · a279ae7 · a279ae7
1 parent b7d2c11
commit a279ae7
Showing 1 changed file with 3 additions and 0 deletions.
diff --git a/README.md b/README.md
@@ -93,6 +93,9 @@ Currently, it contains the following demos:
   - fine-tuning the Perceiver for text classification [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Fine_tune_Perceiver_for_text_classification.ipynb)
   - predicting optical flow between a pair of images with `PerceiverForOpticalFlow`[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Perceiver_for_Optical_Flow.ipynb)
   - auto-encoding a video (images, audio, labels) with `PerceiverForMultimodalAutoencoding` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Perceiver_for_Multimodal_Autoencoding.ipynb)
+* SAM ([paper]([https://arxiv.org/abs/2105.15203](https://arxiv.org/abs/2304.02643))):
+  - performing inference with MedSAM [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SAM/Run_inference_with_MedSAM_using_HuggingFace_Transformers.ipynb)
+  - fine-tuning `SamModel` on a custom dataset [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SAM/Fine_tune_SAM_(segment_anything)_on_a_custom_dataset.ipynb)
 * SegFormer ([paper](https://arxiv.org/abs/2105.15203)):
   - performing inference with `SegformerForSemanticSegmentation` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SegFormer/Segformer_inference_notebook.ipynb)
   - fine-tuning `SegformerForSemanticSegmentation` on custom data using native PyTorch [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SegFormer/Fine_tune_SegFormer_on_custom_dataset.ipynb)