Update README.md

README.md

@@ -1,3 +1,95 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+# haijian06/Yi-1.5-6B-Chat-Agent_sft
+
+## Overview
+
+The `haijian06/Yi-1.5-6B-Chat-Agent_sft` model is an advanced conversational agent built upon the Yi-1.5-6B-Chat model. This model has been fine-tuned to enhance its capabilities in handling agent tasks and function calls, making it a versatile tool for a variety of applications.
+
+## Features
+
+- **Improved Conversational Abilities**: Enhanced dialogue management and natural language understanding.
+- **Function Call Capability**: Supports complex function call operations, making it suitable for automation and task handling.
+- **High Performance**: Optimized for speed and accuracy in responses.
+
+## Installation
+
+To use this model, you need to have Python and the necessary libraries installed. You can install the required dependencies using the following commands:
+
+```bash
+pip install torch transformers
+```
+
+## Usage
+
+Here is a basic example of how to use the `haijian06/Yi-1.5-6B-Chat-Agent_sft` model:
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "haijian06/Yi-1.5-6B-Chat-Agent_sft"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Generate a response
+input_text = "Hello, how can I assist you today?"
+input_ids = tokenizer.encode(input_text, return_tensors='pt')
+
+with torch.no_grad():
+    output = model.generate(input_ids, max_length=50)
+
+response = tokenizer.decode(output[0], skip_special_tokens=True)
+print(response)
+```
+
+## Fine-Tuning
+
+To fine-tune this model on your own dataset, follow these steps:
+
+1. Prepare your dataset in a suitable format.
+2. Use the `Trainer` class from the `transformers` library for training.
+
+Example training script:
+
+```python
+from transformers import Trainer, TrainingArguments
+
+training_args = TrainingArguments(
+    output_dir='./results',         
+    num_train_epochs=3,             
+    per_device_train_batch_size=4,  
+    per_device_eval_batch_size=4,   
+    warmup_steps=500,               
+    weight_decay=0.01,              
+    logging_dir='./logs',           
+)
+
+trainer = Trainer(
+    model=model,                        
+    args=training_args,                 
+    train_dataset=train_dataset,         
+    eval_dataset=eval_dataset            
+)
+
+trainer.train()
+```
+
+## Contributing
+
+Contributions are welcome! Please fork this repository and submit a pull request with your improvements.
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
+
+## Acknowledgements
+
+This model is built upon the Yi-1.5-6B-Chat model. Special thanks to the developers and contributors of the original model.
+
+---
+
+For more information, please visit our [GitHub repository](https://github.com/haijian06/Yi-1.5-6B-Chat-Agent_sft).