Update README.md

README.md

@@ -1,6 +1,9 @@
 ---
 library_name: transformers
-tags: []
+license: mit
+language:
+- en
+pipeline_tag: text-generation
 ---
 
 # Model Card for Model ID
@@ -17,11 +20,11 @@ tags: []
 
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
-- **Developed by:** [More Information Needed]
+- **Developed by:** [Md Rashad Al Hasan Rony]
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Model type:** [GPT-2]
+- **Language(s) (NLP):** [English]
 - **License:** [More Information Needed]
 - **Finetuned from model [optional]:** [More Information Needed]
 
@@ -33,13 +36,35 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
-## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
+### Uses
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+```python
+    import transformers
+    from transformers import AutoModelForCausalLM, AutoTokenizer
+    model_name = "rony/gpt2-quantized-jokes"
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    prompt = tokenizer.apply_chat_template('JOKE: ', add_generation_prompt=True, tokenize=False)
+
+    # Create pipeline
+    pipeline = transformers.pipeline(
+        "text-generation",
+        model=model_name,
+        tokenizer=tokenizer
+    )
+
+    # Generate text
+    sequences = pipeline(
+        prompt,
+        do_sample=True,
+        temperature=0.7,
+        top_p=0.9,
+        num_return_sequences=1,
+        max_length=200,
+    )
+    print(sequences[0]['generated_text'])
+```
 
 [More Information Needed]
 
@@ -196,6 +221,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Model Card Contact
 
-[More Information Needed]
-
-
+[More Information Needed]