Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+  - generated
+  - flan-t5
+  - mental-health
+  - text2text-generation
+  - fine-tuned
+  - chatbot
+  - huggingface
+datasets:
+  - mentalchat-16k
+language:
+  - en
+model-index:
+  - name: flan-t5-large-mentalchat
+    results: []
+---
+
+# 🧠 Flan-T5-Large Mental Health Chatbot
+
+This is a fine-tuned version of `google/flan-t5-large` specifically tailored to act as a **mental health support assistant** trained on the **MentalChat-16k** dataset.  
+It can provide empathetic and supportive responses to mental health-related prompts, especially around anxiety, stress, overthinking, and low mood.
+
+---
+
+## 📊 Model Info
+
+- **Base Model**: [`google/flan-t5-large`](https://huggingface.co/google/flan-t5-large)
+- **Fine-tuned on**: MentalChat-16k Dataset
+- **Framework**: Transformers + PyTorch
+- **Task**: `text2text-generation`
+- **Tokenizer**: AutoTokenizer from base model
+- **Safe Format**: Safetensors
+
+---
+
+## 💬 Example Use
+
+```python
+from transformers import pipeline
+
+chatbot = pipeline("text2text-generation", model="sarthak0226/flan-t5-large-mentalchat")
+
+prompt = "I'm having trouble sleeping lately. What can I do?"
+response = chatbot(prompt, max_length=100, do_sample=True, top_k=50, top_p=0.95)
+
+print(response[0]["generated_text"])