Update README.md

README.md

@@ -196,8 +196,8 @@ curl http://localhost:8000/v1/chat/completions \
 > [!TIP]
 > The `--mamba-cache-dtype float32` and `--mamba-ssm-cache-dtype float32` flags are important for accurate long-context generation. See the [Inference guide](https://github.com/awslabs/hybrid-model-factory/blob/main/docs/Inference.md#recommended-flags-for-hybrid-models) for details on all recommended flags.
 
-### With HuggingFace Transformers
-See the [Inference guide](https://github.com/awslabs/hybrid-model-factory/blob/main/docs/Inference.md#huggingface-transformers-inference) for details on when we recommend the HuggingFace Transformers implementation as opposed to the highly optimized vLLM one.
+### With Hugging Face Transformers
+See the [Inference guide](https://github.com/awslabs/hybrid-model-factory/blob/main/docs/Inference.md#huggingface-transformers-inference) for details on when we recommend the Hugging Face Transformers implementation as opposed to the highly optimized vLLM one.
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
@@ -219,7 +219,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ### Training-Free Context Extension 
 
-This model supports training-free context extension 2-4× its native context via an extension to Hybrid models of [PICASO cache composition](https://arxiv.org/abs/2502.17605). See the [State Composition guide](https://github.com/awslabs/hybrid-model-factory/blob/main/docs/StateComposition.md) for usage. Note, this is currently supported in HuggingFace Transformers only.
+This model supports training-free context extension 2-4× its native context via an extension to Hybrid models of [PICASO cache composition](https://arxiv.org/abs/2502.17605). See the [State Composition guide](https://github.com/awslabs/hybrid-model-factory/blob/main/docs/StateComposition.md) for usage. Note, this is currently supported in Hugging Face Transformers only.
 
 
 ## Training data