Update README.md

README.md

@@ -1,9 +1,48 @@
 ---
+language: en
+tags:
+  - atmasiddhi-shastra
+  - spirituality
+  - jainism
+  - philosophy
+  - conversational-ai
+  - religious-text
 license: apache-2.0
-language:
-- en
-metrics:
-- accuracy
-base_model:
-- unsloth/Llama-3.2-3B-Instruct
----
+pipeline_tag: text-generation
+---
+
+# AtmasiddhiGPT
+
+AtmasiddhiGPT is a language model trained to reflect and provide insights based on the teachings of the **Atmasiddhi Shastra**, a Jain text written by Shrimad Rajchandra. This model can be used to generate responses that capture themes of self-realization, soul, and philosophical principles in Jainism, making it a valuable tool for those exploring Jain spirituality and philosophy.
+
+## Model Details
+
+- **Model Type**: Language Model
+- **Language**: English
+- **Training Data**: Selected spiritual texts, with an emphasis on **Atmasiddhi Shastra**
+- **Intended Use**: Conversational AI, philosophical inquiry, spirituality
+- **License**: Apache 2.0
+- **Framework**: PyTorch, Transformers
+
+## How to Use
+
+To use AtmasiddhiGPT for generating responses in a conversational style or to interpret spiritual themes, you can load it directly with the Hugging Face `transformers` library. Here’s an example of how to set it up:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "your-username/atmasiddhi-gpt"  # replace with actual model path
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Define input text (e.g., a question or a spiritual query)
+input_text = "What does Atmasiddhi say about self-realization?"
+
+# Tokenize and generate
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=50)
+
+# Decode and print the generated response
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)