Update README.md

README.md

@@ -29,10 +29,25 @@ pipeline_tag: text-classification
 
 This model is fine-tuned from the checkpoint of [AIMH/mental-longformer-base-4096](https://huggingface.co/AIMH/mental-longformer-base-4096) using [drmuskangarg/CAMS](https://github.com/drmuskangarg/CAMS/) dataset. For more information about the base Longformer model, please visit their [model page](https://huggingface.co/allenai/longformer-base-4096). We used the same configuration as `AIMH/mental-longformer-base-4096` including their tokenizer.
 
-# Usage, Citing, and more
+# Usage
 
-**Under construction, coming soon**
+If you wish to use my model to infer your dataset or maybe pre-train it further, you can import my model in a Python script/notebook.
 
-This model is developed as a part of the author's thesis research. The author wish to acknowledge Universitas Sebelas Maret for the computational resources.
+```py
+from transformers import LongformerTokenizer, LongformerForSequenceClassification
 
-<!-- Todos: github, mental disclaimer, performance -->
+tokenizer = LongformerTokenizer.from_pretrained("aimh/mental-longformer-base-4096")
+model = LongformerForSequenceClassification.from_pretrained("stackofsugar/mentallongformer-cams-finetuned")  
+```
+
+If you prefer to use the high-level HuggingFace pipeline to make predictions, you can also do it in a Python script/notebook.
+
+```py
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="stackofsugar/mentallongformer-cams-finetuned", tokenizer="aimh/mental-longformer-base-4096")     
+```
+
+# More Information
+
+For more information, visit my [GitHub Repo](https://github.com/stackofsugar/depression-causal-analysis).