Update README.md

README.md

@@ -36,7 +36,7 @@ The model was trained by next-token prediction over a subset of LibriSpeech, Lib
 
 - **Repository:** [https://github.com/slp-rl/slamkit](https://github.com/slp-rl/slamkit)
 - **Paper:** [https://arxiv.org/abs/2502.15814](https://arxiv.org/abs/2502.15814)
-- **Demo** [https://pages.cs.huji.ac.il/adiyoss-lab/slamming/](https://pages.cs.huji.ac.il/adiyoss-lab/slamming/)
+- **Demo:** [https://pages.cs.huji.ac.il/adiyoss-lab/slamming/](https://pages.cs.huji.ac.il/adiyoss-lab/slamming/)
 
 ## Uses
 This is a base SpeechLM and as such can be used to generate continuations for speech segments, or as base for further tuning. See the _SlamKit_
@@ -93,7 +93,7 @@ This model was trained as part of ["*Slamming*: Training a Speech Language Model
 This model was trained using **only a single Nvidia A5000 GPU**, 16 CPU cores and 24 GB of RAM for **24 hours**.
 
 #### Software
-The model wastrained using the [*SlamKit*](https://github.com/slp-rl/slamkit) codebase which builds upon 🤗transformers extending it to support
+The model was trained using the [*SlamKit*](https://github.com/slp-rl/slamkit) codebase which builds upon 🤗transformers extending it to support
 easy and efficient training of Speech Language Models.
 
 ## Citation