Create README.md

README.md

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+---
+tags:
+- text-generation
+- gpt2
+license: gpl-3.0
+datasets:
+- bookcorpus
+metrics:
+- perplexity
+model-index:
+- name: basic-text-generator
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: bookcorpus
+      type: bookcorpus
+    metrics:
+    - name: Perplexity
+      type: perplexity
+      value: 25.3
+---
+
+# Basic Text Generator
+
+## Overview
+
+This is a fine-tuned GPT-2 model for general text generation. It can continue prompts, generate stories, or create coherent paragraphs based on input text. Trained on a diverse corpus for broad applicability.
+
+## Model Architecture
+
+- Base Model: GPT-2
+- Layers: 12
+- Hidden Size: 768
+- Attention Heads: 12
+- Context Window: 1024 tokens
+
+## Intended Use
+
+Suitable for creative writing, content generation, or prototyping language-based applications.
+
+## Limitations
+
+- May generate biased or inappropriate content based on training data.
+- Outputs can be repetitive or nonsensical for long generations.
+- Not optimized for specific domains like code or math.
+
+## Example Code
+
+```python
+from transformers import pipeline
+
+generator = pipeline("text-generation", model="user/basic-text-generator")
+result = generator("Once upon a time,", max_length=50)
+print(result[0]['generated_text'])
+# "Once upon a time, in a land far away..."