Update README.md

README.md

@@ -1,3 +1,43 @@
----
-license: llama2
----
+---
+language:
+- zh
+license: apache-2.0
+datasets:
+- DavidLanz/TaiwanChat
+pipeline_tag: text-generation
+widget:
+- example_title: 範例一
+  messages:
+  - role: user
+    content: 你好
+---
+## Model Card for Model ID
+
+This model is the instruction finetuning version of [benchang1110/Taiwan-tinyllama-v1.0-base](https://huggingface.co/benchang1110/Taiwan-tinyllama-v1.0-base).
+
+## Usage
+```python
+import torch, transformers  
+
+def generate_response():
+    model = transformers.AutoModelForCausalLM.from_pretrained("DavidLanz/Taiwan-tinyllama-v1.0-chat", torch_dtype=torch.bfloat16, device_map=device, attn_implementation="flash_attention_2")
+    tokenizer = transformers.AutoTokenizer.from_pretrained("DavidLanz/Taiwan-tinyllama-v1.0-chat")
+    streamer = transformers.TextStreamer(tokenizer,skip_prompt=True)
+    while(1):
+        prompt = input('USER:')
+        if prompt == "exit":
+            break
+        print("Assistant: ")
+        message = [
+           {'content': prompt, 'role': 'user'},
+        ]
+        untokenized_chat = tokenizer.apply_chat_template(message,tokenize=False,add_generation_prompt=False)
+        inputs = tokenizer.encode_plus(untokenized_chat, add_special_tokens=True, return_tensors="pt",return_attention_mask=True).to(device)
+        outputs = model.generate(inputs["input_ids"],attention_mask=inputs['attention_mask'],streamer=streamer,use_cache=True,max_new_tokens=512,do_sample=True,temperature=0.1,repetition_penalty=1.2)
+
+
+if __name__ == '__main__':
+    device = 'cuda' if torch.cuda.is_available() else 'cpu'
+    generate_response()        
+
+```