Normalize model card formatting

README.md

@@ -76,10 +76,10 @@ img {
 `soloni-114m-tdt-ctc-v2` is a fine tuned version of [`RobotsMali/soloni-114m-tdt-ctc-v0`](https://huggingface.co/RobotsMali/soloni-114m-tdt-ctc-v0). Unlike its base model, this model cannot write Punctuations and Capitalizations since these were absent from its training. The model was fine-tuned using **NVIDIA NeMo** and supports **both TDT (Token-and-Duration Transducer) and CTC (Connectionist Temporal Classification) decoding**.
 
 ## **🚨 Important Note**
-This model, along with its associated resources, is part of an **ongoing research effort**, improvements and refinements are expected in future versions. Users should be aware that:  
+This model, along with its associated resources, is part of an **ongoing research effort**, improvements and refinements are expected in future versions. Users should be aware that:
 
-- **The model may not generalize very well across all speaking conditions and dialects.**  
-- **Community feedback is welcome, and contributions are encouraged to refine the model further.** 
+- **The model may not generalize very well across all speaking conditions and dialects.**
+- **Community feedback is welcome, and contributions are encouraged to refine the model further.**
 
 ## NVIDIA NeMo: Training
 
@@ -87,7 +87,7 @@ To fine-tune or play with the model you will need to install [NVIDIA NeMo](https
 
 ```bash
 pip install nemo-toolkit['asr']
-``` 
+```
 
 ## How to Use This Model
 
@@ -162,7 +162,7 @@ The NeMo toolkit was used for finetuning this model for **210,000 steps** over `
 The tokenizer for this model was trained on the text transcripts of the train set of RobotsMali/kunkado using this [script](https://github.com/NVIDIA/NeMo/blob/main/scripts/tokenizers/process_asr_text_tokenizer.py).
 
 ## Dataset
-This model was fine-tuned on a 100 hours pre-completion subset of the [African Next Voices](https://huggingface.co/datasets/RobotsMali/afvoices) dataset. You can reconstitute that subset with these [manifest files](https://github.com/RobotsMali-AI/bambara-asr/afvoices/pre-manifests). 
+This model was fine-tuned on a 100 hours pre-completion subset of the [African Next Voices](https://huggingface.co/datasets/RobotsMali/afvoices) dataset. You can reconstitute that subset with these [manifest files](https://github.com/RobotsMali-AI/bambara-asr/afvoices/pre-manifests).
 
 ## Performance