Create README.md

README.md

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+# Further instruct Tuning stanford alpaca based on <a href="https://huggingface.co/tloen/alpaca-lora-7" target="_blank">tloen/alpaca-lora-7b</a> on <a href="https://www.consumptionvoucher.gov.hk/public/pdf/2023cvs/FAQ-2023_en.pdf" target="_blank">Hong Kong 2023 Consumption Voucher Scheme Frequently Asked Questions</a>
+
+## How to use it
+
+```python
+
+from transformers import LlamaForCausalLM, LlamaTokenizer,GenerationConfig
+from peft import PeftModel
+
+
+device_map = "auto"
+
+tokenizer = LlamaTokenizer.from_pretrained("decapoda-research/llama-7b-hf")
+model = LlamaForCausalLM.from_pretrained(
+    "decapoda-research/llama-7b-hf",
+    load_in_8bit=True,
+    device_map="auto",
+)
+
+### load model after fine tuned on alpaca datasets
+model = PeftModel.from_pretrained(model, "Nelsonlin0321/alpaca-lora-7b-tuned-on-hk-csv-fqa_causal_lm")
+
+tokenizer = LlamaTokenizer.from_pretrained("decapoda-research/llama-7b-hf")
+tokenizer.pad_token_id = 0
+
+
+def generate_prompt_eval(instruction):
+    template =  f"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
+### Instruction:
+{instruction}
+### Response:"""
+    return template
+
+eval_generation_config = GenerationConfig(
+    temperature=0.1,
+    top_p=0.75,
+    num_beams=4,
+)
+
+
+def generate_answer(instruction):
+    prompt = generate_prompt_eval(instruction)
+    inputs = tokenizer(prompt, return_tensors="pt")
+    input_ids = inputs["input_ids"].cuda()
+    generation_output = model.generate(
+        input_ids=input_ids,
+        generation_config=eval_generation_config,
+        return_dict_in_generate=True,
+        output_scores=True,
+        max_new_tokens=256
+    )
+    for s in generation_output.sequences:
+        output = tokenizer.decode(s)
+        # print(output)
+        print("Response:", output.split("### Response:")[1].strip())
+
+
+question = "Who are eligible to be disbursed with the first-instalment voucher of $1,500 on 16 April?"
+
+generate_answer(question)
+>> Response: All eligible people who have successfully registered under 2022 CVS and met the relevant eligibility criteria will be disbursed with the first-instalment voucher of $1,500 on 16 April.
+
+
+
+```