Update README.md

README.md

@@ -1,3 +1,42 @@
 ---
 license: mit
 ---
+
+Similarly as [Qwen-1.5-14B-Chat](https://huggingface.co/Qwen/Qwen1.5-14B-Chat), you can always call this model from the `AutoModel` class.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+device = "cuda" # the device to load the model onto
+
+model = AutoModelForCausalLM.from_pretrained(
+    "ljsabc/Qwen-1.5-14B-Chat-Fujisaki",
+    torch_dtype="auto",
+    device_map="auto",
+    #load_in_4bit=True
+)
+tokenizer = AutoTokenizer.from_pretrained("ljsabc/Qwen-1.5-14B-Chat-Fujisaki")
+
+prompt = "请撰写一条新的推文。"
+messages = [
+    {"role": "system", "content": "你将扮演推特用户@ljsabc，你需要撰写你的原创推文或回复别人的推文。所有你的回复都应该使用简体中文书写。"},
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(device)
+
+generated_ids = model.generate(
+    model_inputs.input_ids,
+    max_new_tokens=512,
+    temperature=0.95,
+    top_p=0.99
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+```