update

architectures/incoder.txt

@@ -11,4 +11,26 @@ During the training of InCoder, spans of code were randomly masked and moved to
 
 So in addition to program synthesis (via left-to-right generation), InCoder can also perform editing (via infilling). The model gives promising results in some zero-shot code infilling tasks such as type prediction, variable re-naming and comment generation.
 
-In the code generation demo we use InCoder 1.3B.
+In the code generation demo we use InCoder 1.3B.
+
+You can load the model and tokenizer directly from the `transformers`:
+
+```python
+from transformers import AutoTokenizer, AutoModelWithLMHead
+  
+tokenizer = AutoTokenizer.from_pretrained("facebook/incoder-6B")
+model = AutoModelWithLMHead.from_pretrained("facebook/incoder-6B")
+
+inputs = tokenizer("def hello_world():", return_tensors="pt")
+outputs = model(**inputs)
+
+```
+
+Or you can use a pipeline
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="facebook/incoder-6B")
+outputs = pipe("def hello_world():")
+```