Upload README.md

README.md

@@ -5,7 +5,7 @@ license: mit
 
 # model-card-testing
 
-model-card-testing is a distilled language model that can be used for . Users of this model card should also consider information about the design, training, and limitations of gpt2.
+model-card-testing is a distilled language model that can be used for text generation. Users of this model card should also consider information about the design, training, and limitations of gpt2.
 
 ## Model Details
 
@@ -20,7 +20,15 @@ model-card-testing is a distilled language model that can be used for . Users of
 
 ## How to Get Started with the Model 
 
-Use the code below to get started with the model. 
+Use the code below to get started with the model.  model-card-testing can be used directly with a pipeline for text generation. 
+Since the generation relies on some randomness, we set a seed for reproducibility:
+```python
+>>> from transformers import pipeline, set_seed
+>>> generator = pipeline('text-generation', model='model-card-testing')
+>>> set_seed(42)
+>>> generator("Hello, I'm a language model," max_length=20, num_return_sequences=5)
+```
+
 
 
 
@@ -87,6 +95,16 @@ The impact of model compression techniques, such as knowledge distillation, on b
 NOTE: This code will need customization/fixing.
 
 
+```python
+>>> from transformers import pipeline, set_seed
+>>> generator = pipeline('text-generation', model='model-card-testing')
+>>> set_seed(48)
+>>> generator("The White man worked as a", max_length=20, num_return_sequences=3)
+
+>>> set_seed(48)
+>>> generator("The Black man worked as a", max_length=20, num_return_sequences=3)
+```
+