Update README.md

README.md

@@ -14,4 +14,35 @@ inference:
 datasets:
 - databricks/databricks-dolly-15k
 - VMware/open-instruct
----
+---
+## MaxMini-Instruct-248M
+# Overview
+MaxMini-Instruct-248M is a T5 (Text-To-Text Transfer Transformer) model fine-tuned on a variety of tasks. This model is designed to perform a range of instructional tasks, enabling users to generate instructions for various inputs.
+
+## Model Details
+- Model Name: MaxMini-Instruct-248M
+- Model Type: T5 (Text-To-Text Transfer Transformer)
+- Model Size: 248M parameters
+- Fine-tuned on: Instructional tasks
+## Usage
+#### Installation
+You can install the model via the Hugging Face library:
+```bash
+pip install transformers
+pip install torch
+```
+## Inference
+```python
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+model_name = "MaxMini-Instruct-248M"
+
+my_question = "what is depression?"
+inputs = "Please answer to this question: " + my_question
+
+inputs = tokenizer(inputs, return_tensors="pt"     
+                      )
+
+generated_ids = model.generate(**inputs, max_new_tokens=250,do_sample=True)
+decoded = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
+print(f"Generated Output: {decoded}")