Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- emre/llama-2-13b-code-chat
+tags:
+- code
+---
+
+# 🦙💻 CodeLlama 
+
+
+`emre/llama-2-13b-code-chat` is a Llama 2 version of [**CodeAlpaca**](https://github.com/sahil280114/codealpaca).
+
+## 🔧 Training
+
+This model is based on the `llama-2-13b-chat-hf` model, fine-tuned using QLoRA on the [`mlabonne/CodeLlama-2-20k`](https://huggingface.co/datasets/mlabonne/CodeLlama-2-20k) dataset. 
+It was trained on an Colab Pro+It was trained Colab Pro+. 
+It is mainly designed for educational purposes, not for inference but can be used exclusively with BBVA Group, GarantiBBVA and its subsidiaries.
+
+
+## 💻 Usage
+
+``` python
+# pip install transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "emre/llama-2-13b-code-chat"
+prompt = "Write Python code to generate an array with all the numbers from 1 to 100"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+sequences = pipeline(
+    f'<s>[INST] {prompt} [/INST]',
+    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']}")
+```
+
+Ouput:
+```
+Here is a Python code to generate an array with all the numbers from 1 to 100:
+
+ ```
+ numbers = []
+ for i in range(1,101):
+     numbers.append(i)
+ ```
+
+This code generates an array with all the numbers from 1 to 100 in Python. It uses a loop that iterates over the range of numbers from 1 to 100, and for each number, it appends that number to the array 'numbers'. The variable 'numbers' is initialized to a list, and its length is set to 101 by using the range of numbers (0-99).
+
+```