Update README.md with new model card content

README.md

@@ -1,17 +1,7 @@
 ---
 library_name: keras-hub
-license: llama3
-language:
-- en
-tags:
-- text-generation
-- text-classification
-- text-generation-inference
-- text-to-text-generation
-- text-conversation
-pipeline_tag: text-generation
 ---
-## Model Overview
+### Model Overview
 Llama 3 is a set of large language models published by Meta. Both pretrained and instruction tuned models are available, and range in size from 7 billion to 70 billion parameters. See the model card below for benchmarks, data sources, and intended use cases.
 
 Weights are released under the [Llama 3 Community License](https://ai.meta.com/llama/license/). Keras model code is released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
@@ -62,7 +52,7 @@ For more details, please refer to this link: [Llama 3 Model Card & Prompt Format
 
 Base models (without instruct in the name) have no specific prompting structure, and should usually be fine-tuned for a specific task.
 
-## Example Usage
+### Example Usage
 ```python
 import keras
 import keras_hub
@@ -203,4 +193,4 @@ llama_lm = keras_hub.models.Llama3CausalLM.from_preset(
     dtype="bfloat16"
 )
 llama_lm.fit(x=x, y=y, sample_weight=sw, batch_size=2)
-```
+```