Update README.md

README.md

@@ -15,6 +15,43 @@ Code Llama is a collection of pretrained and fine-tuned generative text models r
 | 13B  | [codellama/CodeLlama-13b-hf](https://huggingface.co/codellama/CodeLlama-13b-hf) | [codellama/CodeLlama-13b-Python-hf](https://huggingface.co/codellama/CodeLlama-13b-Python-hf) | [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) |
 | 34B  | [codellama/CodeLlama-34b-hf](https://huggingface.co/codellama/CodeLlama-34b-hf) | [codellama/CodeLlama-34b-Python-hf](https://huggingface.co/codellama/CodeLlama-34b-Python-hf) | [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) |
 
+
+Make sure to be using this fork of transformers unit support is fully merged and released.
+
+```bash
+pip install git+https://github.com/huggingface/transformers.git@refs/pull/25740/head accelerate
+```
+
+
+```python
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "codellama/CodeLlama-7b-hf"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+sequences = pipeline(
+    'import socket\n\ndef ping_exponential_backoff(host: str):',
+    do_sample=True,
+    top_k=10,
+    temperature=0.1,
+    top_p=0.95
+    num_return_sequences=1,
+    eos_token_id=tokenizer.eos_token_id,
+    max_length=200,
+)
+for seq in sequences:
+    print(f"Result: {seq['generated_text']}")
+```
+
 ## Model Details
 *Note: Use of this model is governed by the Meta license. Meta developed and publicly released the Code Llama family of large language models (LLMs).