Update README.md

README.md

@@ -1,13 +1,13 @@
----
-license: apache-2.0
-language:
-- en
-pipeline_tag: text-generation
-library_name: transformers
-tags:
-- i3-architecture
-- custom_code
----
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- i3-architecture
+- custom_code
+---
 
 # i3-tiny
 
@@ -77,16 +77,7 @@ These outputs capture the **chaotic creativity** of a character-level model: a m
 ## Usage Example
 
 ```python
-from modeling_i3 import i3, i3Config
-import torch
-
-config = i3Config.from_pretrained("i3-hf-model")
-model = i3.from_pretrained("i3-hf-model", config=config)
-
-prompt = "Hello"
-input_ids = torch.tensor([[c for c in range(len(prompt))]])  # replace with your dataset encoding
-generated_ids = model.model.generate(input_ids, max_new_tokens=100, temperature=0.8, top_k=20)
-print(generated_ids)  # decode using your dataset method
+# not available
 ````
 
 ---