Update README.md (#1)

- Update README.md (ee601abae41ded4b1868e412ec28f5d589e9f5bf)


Co-authored-by: Harrison Cook <hcookie129@users.noreply.huggingface.co>

README.md

@@ -3,6 +3,8 @@ license: cc-by-4.0
 metrics:
 - mse
 pipeline_tag: graph-ml
+language:
+- en
 ---
 
 # AIFS Single - v0.2.1
@@ -50,7 +52,7 @@ To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.
 
 
 - **Repository:** [Anemoi](https://anemoi-docs.readthedocs.io/en/latest/index.html)
-  Anemoi is an open-source framework for creating machine learning (ML) weather forecasting systems, which ECMWF and a range of national meteorological services across Europe have co-developed.
+   is an open-source framework for creating machine learning (ML) weather forecasting systems, which ECMWF and a range of national meteorological services across Europe have co-developed.
 - **Paper:** https://arxiv.org/pdf/2406.01465
 
 ## How to Get Started with the Model
@@ -64,7 +66,7 @@ step-by-step workflow is specified to run the AIFS using the HuggingFace model:
   - Get the data from the [ECMWF Open Data API](https://www.ecmwf.int/en/forecasts/datasets/open-data)
   - Get input fields
   - Add the single levels fields and pressure levels fields
-  - Convert geopotential height into greopotential
+  - Convert geopotential height into geopotential
   - Create the initial state
 3. **Load the Model and Run the Forecast** 
   - Download the Model's Checkpoint from Hugging Face
@@ -220,5 +222,4 @@ Lang, S., Alexe, M., Chantry, M., Dramsch, J., Pinault, F., Raoult, B., ... & Ra
 
 ## More Information
 
-[More Information Needed](https://arxiv.org/pdf/2406.01465)
-
+[More Information Needed](https://arxiv.org/pdf/2406.01465)