Create README.md

README.md

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+---
+license: llama3
+---
+
+# Model
+
+fine-tuned LLaMA 3 8B on synthetic dataset generated by GPT-4 and LLaMA 3 70B via MLX-LM
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "mzbac/llama-3-8B-grammar-hf"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+    
+)
+
+messages = [
+    {
+        "role": "system",
+        "content": "Please correct, polish, or translate the text to standard English.",
+    },
+]
+messages.append({"role": "user", "content":"Text=```neither 经理或员工 has been informed about the meeting```"})
+
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=256,
+    eos_token_id=terminators,
+    do_sample=True,
+    temperature=0.1,
+)
+response = outputs[0]
+print(tokenizer.decode(response))
+
+# <|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+# Please correct, polish, or translate the text to standard English.<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+# Text=```neither 经理或员工 has been informed about the meeting```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+# Output=Neither the manager nor the employees have been informed about the meeting.<|eot_id|>
+```