Update README.md

README.md

@@ -1,3 +1,37 @@
 ---
-license: other
+license: llama2
 ---
+
+* indo-instruct-llama2-32kmodel card
+* Model Details
+* Developed by: monuminu
+* Backbone Model: LLaMA-2
+* Language(s): English
+* Library: HuggingFace Transformers
+* License: Fine-tuned checkpoints is licensed under the Non-Commercial Creative Commons license (CC BY-NC-4.0)
+* Where to send comments: Instructions on how to provide feedback or comments on a model can be found by opening an issue in the Hugging Face community's model repository
+* Contact: For questions and comments about the model
+* Dataset Details
+* Used Datasets
+* alpaca dataset
+
+```
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+
+tokenizer = AutoTokenizer.from_pretrained("monuminu/indo-instruct-llama2-13b")
+model = AutoModelForCausalLM.from_pretrained(
+    "monuminu/indo-instruct-llama2-32k",
+    device_map="auto",
+    torch_dtype=torch.float16,
+    load_in_8bit=True,
+)
+
+prompt = "### User:\nThomas is healthy, but he has to go to the hospital. What could be the reasons?\n\n### Assistant:\n"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+del inputs["token_type_ids"]
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+output = model.generate(**inputs, streamer=streamer, use_cache=True, max_new_tokens=float('inf'))
+output_text = tokenizer.decode(output[0], skip_special_tokens=True)
+```