Rename Readme.md to README.md

README.md

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+This Model is based on Llama-2 7B model provided by Meta. The Model accepts text and return SQL-query. This Model has been fine-tuned on "NousResearch/Llama-2-7b-hf".
+
+```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text2text-generation", model="ekshat/Llama-2-7b-chat-finetune-for-text2sql")
+
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("ekshat/Llama-2-7b-chat-finetune-for-text2sql")
+model = AutoModelForCausalLM.from_pretrained("ekshat/Llama-2-7b-chat-finetune-for-text2sql")
+
+# Run text generation pipeline with our next model
+context = "CREATE TABLE Student (name VARCHAR, college VARCHAR, age VARCHAR, group VARCHAR, marks VARCHAR)"
+question = "List the name of Students belongs to school 'St. Xavier' and having marks greater than '600'"
+
+prompt = f"""Below is an context that describes a sql query, paired with an question that provides further information. Write an answer that appropriately completes the request.
+### Context:
+{context}
+### Question:
+{question}
+### Answer:"""
+
+sequences = pipeline(
+prompt,
+do_sample=True,
+top_k=10,
+num_return_sequences=1,
+eos_token_id=tokenizer.eos_token_id,
+max_length=200,
+)
+for seq in sequences:
+print(f"Result: {seq['generated_text']}")
+
+```