Update README.md

README.md

@@ -12,6 +12,11 @@ tags:
 - text-generation-inference
 ---
 
+# **Gpt2-Wikitext-9180**
+
+> **Gpt2-Wikitext-9180**, fine-tuned from GPT-2, is a Transformer-based language model trained on a large English corpus (WikiText) using self-supervised learning. This means it was trained on raw, unlabeled text data, using an automated process to create inputs and labels by predicting the next word in a sentence. No manual annotation was involved, allowing the model to leverage a vast amount of publicly available data.
+
+## Demo Inference
 
 ```py
 pip install transformers
@@ -52,4 +57,24 @@ generated_text = generate_text(prompt, max_length=68)
 
 # Print the generated text
 print(generated_text)
-```
+```
+
+
+---
+
+### **Intended Use Case**
+
+* **Text Generation**: Auto-completion, story generation, or dialogue simulation.
+* **Language Modeling**: Understanding language structure and context for downstream NLP tasks.
+* **Educational and Research Use**: Exploring fine-tuning techniques, language understanding, or benchmarking language models.
+* **Prototyping**: Quick deployment of language-based features in applications and interfaces.
+
+---
+
+### **Limitations**
+
+* **Factual Inaccuracy**: May generate plausible-sounding but incorrect or outdated information.
+* **Bias and Toxicity**: Can reflect biases present in training data (e.g., stereotypes, offensive language).
+* **Context Length**: Limited context window inherited from GPT-2 architecture.
+* **Not Real-Time Aware**: Lacks access to current events or updates beyond its training data.
+* **Lack of Understanding**: Generates text based on patterns, not genuine comprehension or reasoning.