Update README.md

README.md

@@ -10,7 +10,7 @@ license: mit
 This is a mirror model to [mamba2-130m](https://huggingface.co/state-spaces/mamba2-130m) which is compatible with [mamba2-torch](https://github.com/vasqu/mamba2-torch), a Hugging Face compatible mamba2 library that is not dependent on the original cuda wheels of the [original mamba repo](https://github.com/state-spaces/mamba). Credit goes to the original authors of [Mamba2](https://arxiv.org/abs/2405.21060) and the [transformers](https://github.com/huggingface/transformers) library by Hugging Face. Without their work, this would not be possible.
 
 
-NOTE: `mamba2-torch` offers differrent optimisation paths to use:
+NOTE: `mamba2-torch` offers different optimisation paths to use:
 - Triton kernels and [causal-conv1d](https://github.com/Dao-AILab/causal-conv1d) ("fastest")
 - Triton kernels only (default) 
 - Pure PyTorch
@@ -23,7 +23,7 @@ cd mamba2-torch
 pip install .
 ```
 
-Then you can donwload this repository here via git lfs and then use the files locally the following way (after installing mamba2-torch):
+Then you can download this repository here via git lfs and then use the files locally the following way (after installing mamba2-torch):
 ```python
 from transformers import AutoTokenizer
 from mamba2_torch import Mamba2Model, Mamba2ForCausalLM, Mamba2Config