Add generation example for safetensors

examples/basic_generate_safetensors.py

+from awq import AutoAWQForCausalLM
+from transformers import AutoTokenizer, TextStreamer
+
+quant_path = "casperhansen/opt-125m-awq"
+
+# Load model
+model = AutoAWQForCausalLM.from_quantized(quant_path, fuse_layers=True, use_safetensors=True)
+tokenizer = AutoTokenizer.from_pretrained(quant_path, trust_remote_code=True)
+streamer = TextStreamer(tokenizer, skip_special_tokens=True)
+
+# Convert prompt to tokens
+prompt_template = """\
+A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
+
+USER: {prompt}
+ASSISTANT:"""
+
+tokens = tokenizer(
+    prompt_template.format(prompt="How are you today?"), 
+    return_tensors='pt'
+).input_ids.cuda()
+
+# Generate output
+generation_output = model.generate(
+    tokens, 
+    streamer=streamer,
+    max_new_tokens=512
+)