readme tweaks. (#867)

README.md

@@ -8,7 +8,9 @@ Candle is a minimalist ML framework for Rust with a focus on performance (includ
 and ease of use. Try our online demos: 
 [whisper](https://huggingface.co/spaces/lmz/candle-whisper),
 [LLaMA2](https://huggingface.co/spaces/lmz/candle-llama2),
-[yolo](https://huggingface.co/spaces/lmz/candle-yolo).
+[yolo](https://huggingface.co/spaces/lmz/candle-yolo),
+[Segment
+Anything](https://huggingface.co/spaces/radames/candle-segment-anything-wasm).
 
 ## Get started
 
@@ -114,8 +116,7 @@ And then head over to
 <!--- ANCHOR: useful_libraries --->
 
 ## Useful Libraries
-- `candle-lora`
-    - [`candle-lora`](https://github.com/EricLBuehler/candle-lora) provides a LoRA implementation that conforms to the official `peft` implementation.
+- [`candle-lora`](https://github.com/EricLBuehler/candle-lora) provides a LoRA implementation that conforms to the official `peft` implementation.
 
 If you have an addition to this list, please submit a pull request.
 
@@ -133,10 +134,20 @@ If you have an addition to this list, please submit a pull request.
     - CUDA backend for efficiently running on GPUs, multiple GPU distribution via NCCL.
     - WASM support, run your models in a browser.
 - Included models.
-    - LLMs: LLaMA v1 and v2, Falcon, StarCoder.
+    - Language Models.
+        - LLaMA v1 and v2.
+        - Falcon.
+        - StarCoder.
+        - T5.
+        - Bert.
     - Whisper (multi-lingual support).
-    - Stable Diffusion.
-    - Computer Vision: DINOv2, EfficientNet, yolo-v3, yolo-v8.
+    - Stable Diffusion v1.5, v2.1, XL v1.0.
+    - Computer Vision Models.
+        - DINOv2.
+        - EfficientNet.
+        - yolo-v3.
+        - yolo-v8.
+        - Segment-Anything Model (SAM).
 - File formats: load models from safetensors, npz, ggml, or PyTorch files.
 - Serverless (on CPU), small and fast deployments.
 - Quantization support using the llama.cpp quantized types.