Update README.md

README.md

@@ -5,11 +5,30 @@ pipeline_tag: text-generation
 tags:
 - openvino
 - openvino-export
+license: llama3.2
 ---
+# FineLlama-3.2-3B-Instruct-ead-openvino
 
 This model was converted to OpenVINO from [`Geraldine/FineLlama-3.2-3B-Instruct-ead`](https://huggingface.co/Geraldine/FineLlama-3.2-3B-Instruct-ead) using [optimum-intel](https://github.com/huggingface/optimum-intel)
 via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space.
 
+## Model Description
+
+- **Original Model**: Geraldine/FineLlama-3.2-3B-Instruct-ead
+- **Framework**: OpenVINO
+- **Task**: Text Generation, EAD tag generation
+- **Language**: English
+- **License**: llama3.2
+
+## Features
+
+- Optimized for Intel hardware using OpenVINO
+- Supports text generation inference
+- Maintains original model capabilities for EAD tag generation
+- Integration with PyTorch
+
+## Installation
+
 First make sure you have optimum-intel installed:
 
 ```bash
@@ -24,3 +43,36 @@ from optimum.intel import OVModelForCausalLM
 model_id = "Geraldine/FineLlama-3.2-3B-Instruct-ead-openvino"
 model = OVModelForCausalLM.from_pretrained(model_id)
 ```
+
+## Technical Specifications
+
+### Supported Features
+- Text Generation
+- Transformers integration
+- PyTorch compatibility
+- OpenVINO export
+- Inference Endpoints
+- Conversational capabilities
+
+### Model Architecture
+- Base: meta-llama/Llama-3.2-3B-Instruct
+- Fine-tuned: Geraldine/FineLlama-3.2-3B-Instruct-ead
+- Final conversion: OpenVINO optimization
+
+## Usage Examples
+
+```python
+from optimum.intel import OVModelForCausalLM
+from transformers import AutoTokenizer
+
+# Load model and tokenizer
+model_id = "Geraldine/FineLlama-3.2-3B-Instruct-ead-openvino"
+model = OVModelForCausalLM.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+# Generate text
+def generate_ead(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0])
+```