Update README.md

README.md

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-# Microsoft 365 Data Management Expert
-
-This model is fine-tuned from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B for answering questions about Microsoft 365 data management, 
-specifically focusing on SharePoint, OneDrive, and Teams. It provides detailed responses about:
-
-- Data governance
-- Retention policies
-- Permissions management
-- Version control
-- Sensitivity labels
-- Document lifecycle
-- Compliance features
-- And more
-
-## Model Details
-
-- **Base Model**: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-- **Training**: Fine-tuned using LoRA
-- **Task**: Question-answering about Microsoft 365 data management
-- **Language**: English
-- **License**: Same as base model
-
-## Usage
-
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/microsoft365_expert")
-tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/microsoft365_expert")
-
-# Example usage
-question = "What is data governance in Microsoft 365?"
-inputs = tokenizer(question, return_tensors="pt")
-outputs = model.generate(**inputs, max_new_tokens=2048)
-response = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(response)
-```
-
-## Limitations
-
-- Responses are based on training data and may not reflect the latest Microsoft 365 updates
-- Should be used as a reference, not as the sole source for compliance decisions
-- May require fact-checking against official Microsoft documentation
+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+library_name: peft
+pipeline_tag: text-generation
+language: en
+tags:
+- deepseek
+- text-generation
+- conversational
+---
+
+# Microsoft 365 Data Management Expert
+
+This model is fine-tuned from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B for answering questions about Microsoft 365 data management, 
+specifically focusing on SharePoint, OneDrive, and Teams. It provides detailed responses about:
+
+- Data governance
+- Retention policies
+- Permissions management
+- Version control
+- Sensitivity labels
+- Document lifecycle
+- Compliance features
+- And more
+
+## Model Details
+
+- **Base Model**: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+- **Training**: Fine-tuned using LoRA
+- **Task**: Question-answering about Microsoft 365 data management
+- **Language**: English
+- **License**: Same as base model
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/microsoft365_expert")
+tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/microsoft365_expert")
+
+# Example usage
+question = "What is data governance in Microsoft 365?"
+inputs = tokenizer(question, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=2048)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## Limitations
+
+- Responses are based on training data and may not reflect the latest Microsoft 365 updates
+- Should be used as a reference, not as the sole source for compliance decisions
+- May require fact-checking against official Microsoft documentation