Update README.md

README.md

@@ -1,16 +1,16 @@
 ---
 model_type: dynamic_neural_network
 architectures:
-  - DynamicNeuralNetwork
+- DynamicNeuralNetwork
 config:
   adaptation_rate: 0.05
   architectures:
-    - DynamicNeuralNetwork
+  - DynamicNeuralNetwork
   complexity_metric: null
   desired_improvement_rate: 0.02
   ecosystem_dynamics:
     environmental_volatility: 0.1
-    resource_pool: 1.0
+    resource_pool: 1
   embedding_dim: 768
   growth_improvement_threshold: 0.01
   hidden_dim: 2048
@@ -34,27 +34,21 @@ config:
   stability_threshold: 0.02
   start_token_index: 2
   transformers_version: 4.34.0
-
 license: apache-2.0
-
 datasets:
-  - vicgalle/alpaca-gpt4
-
+- vicgalle/alpaca-gpt4
 language:
-  - en
-
-library_name: transformers
-
+- en
 tags:
-  - text-generation-inference
-
+- text-generation-inference
 metrics:
-  - accuracy
-
-model:
+- accuracy
+model: >-
   from transformers import DynamicNeuralNetwork, DynamicNeuralNetworkConfig
 
-  custom_model = DynamicNeuralNetwork.from_pretrained("ayjays132/phillnet", config=DynamicNeuralNetworkConfig.from_pretrained("ayjays132/phillnet"))
+  custom_model = DynamicNeuralNetwork.from_pretrained("ayjays132/phillnet",
+  config=DynamicNeuralNetworkConfig.from_pretrained("ayjays132/phillnet"))
+pipeline_tag: text-generation
 ---
 
 # Model Card for Phillnet 🚀
@@ -130,4 +124,4 @@ print("Generated Response:", generated_response)
 - **Innovative Growth:** The model evolves through an Innovative Growth Network, ensuring continuous enhancement.
 - **Custom Architecture:** Crafted with a dynamic custom architecture for unparalleled language understanding.
 
----
+---