Upload README.md

README.md

@@ -63,20 +63,20 @@ output = model(encoded_input)
 ## Uses
 LLMs are intended to be used for language generation or as a pretrained base model that can be further fine-tuned for specific tasks. Use cases below are not exhaustive.
 
-### Direct Use
+#### Direct Use
 This model can be used for:
 - Text generation
 - Exploring characterisitics of language generated by a language model 
     - Examples: Cloze tests, counterfactuals, generations with reframings
 
-### Downstream Use
+#### Downstream Use
 Tasks that leverage language models, including: 
 - Information Extraction, Question Answering, Summarization
 - Writing assistance: Grammar assistance, autocompletion (for normal prose or code)
 - Creative writing and art: exploring the generation of creative, fictional texts; aiding creation of poetry and other literary art.
 - Entertainment: Creation of games, chat bots, and amusing generations.
 
-### Misuse and Out-of-scope Use
+#### Misuse and Out-of-scope Use
 Using the model in high-stakes settings is out of scope for this model.  The model is not designed for critical decisions nor uses with any material consequences on an individual's livelihood or wellbeing. The model outputs content that appears factual but is not correct.
 
 ## Limitations
@@ -112,11 +112,11 @@ NOTE: This code will need customization/fixing.
 
 ## Training 
 
-### Training Data
+#### Training Data
 
 model-card-testing was trained using . See the  data card for additional information. 
 
-### Training Procedure
+#### Training Procedure
 
 Preprocessing, hardware used, hyperparameters...