Update README.md

README.md

@@ -1,9 +1,117 @@
 ---
 tags:
-- autotrain
-- text-generation
+  - text-generation
 widget:
-- text: "I love AutoTrain because "
+  - text: >
+      John Doe, born on January 1, 1990, currently lives at 1234 Elm Street, Springfield, Anywhere 12345. 
+      He can be reached at johndoe@email.com or at the phone number 555-123-4567. His social security number is 123-45-6789,
+      and he has a bank account number 9876543210 at Springfield Bank. John attended Springfield University where he earned 
+      a Bachelor's degree in Computer Science. He now works at Acme Corp and his employee ID is 123456. John's medical record number
+      is MRN-001234, and he has a history of asthma and high blood pressure. His primary care physician is Dr. Jane Smith, 
+      who practices at Springfield Medical Center. His recent blood test results show a cholesterol level of 200 mg/dL and a 
+      blood glucose level of 90 mg/dL.
 ---
 
-# Model Trained Using AutoTrain
+
+```python
+
+import transformers
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+from torch import cuda, bfloat16
+
+base_model_id = 'meta-llama/Llama-2-7b-hf'
+
+device = f'cuda:{cuda.current_device()}' if cuda.is_available() else 'cpu'
+
+bnb_config = transformers.BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_quant_type='nf4',
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_compute_dtype=bfloat16
+)
+
+
+hf_auth = "hf_your-huggingface-access-token"
+model_config = transformers.AutoConfig.from_pretrained(
+    base_model_id,
+    use_auth_token=hf_auth
+)
+
+model = transformers.AutoModelForCausalLM.from_pretrained(
+    base_model_id,
+    trust_remote_code=True,
+    config=model_config,
+    quantization_config=bnb_config,
+    device_map='auto',
+    use_auth_token=hf_auth
+)
+
+config = PeftConfig.from_pretrained("Ashishkr/pii-removal")
+model = PeftModel.from_pretrained(model, "Ashishkr/pii-removal").to(device)
+
+model.eval()
+print(f"Model loaded on {device}")
+
+tokenizer = transformers.AutoTokenizer.from_pretrained(
+    base_model_id,
+    use_auth_token=hf_auth
+)
+
+```
+
+
+```python
+def remove_pii_info(
+    model: AutoModelForCausalLM,
+    tokenizer: AutoTokenizer,
+    prompt: str,
+    max_new_tokens: int = 128,
+    temperature: float = 0.92):
+
+    inputs = tokenizer(
+        [prompt],
+        return_tensors="pt",
+        return_token_type_ids=False).to(device)
+
+    max_new_tokens = inputs["input_ids"].shape[1]
+
+    # Check if bfloat16 is supported, otherwise use float16
+    dtype_to_use = torch.bfloat16 if torch.cuda.is_bf16_supported() else torch.float16
+
+    with torch.autocast("cuda", dtype=dtype_to_use):
+        response = model.generate(
+            **inputs,
+            max_new_tokens=max_new_tokens,
+            temperature=temperature,
+            return_dict_in_generate=True,
+            eos_token_id=tokenizer.eos_token_id,
+            pad_token_id=tokenizer.pad_token_id,
+        )
+
+    decoded_output = tokenizer.decode(
+        response["sequences"][0],
+        skip_special_tokens=True,
+    )
+
+    return decoded_output[len(prompt) :]
+
+prompt = """
+ Input: "John Doe, born on January 1, 1990, currently lives at 1234 Elm Street, Springfield, Anywhere 12345. 
+ He can be reached at johndoe@email.com or at the phone number 555-123-4567. His social security number is 123-45-6789,
+  and he has a bank account number 9876543210 at Springfield Bank. John attended Springfield University where he earned 
+  a Bachelor's degree in Computer Science. He now works at Acme Corp and his employee ID is 123456. John's medical record number
+   is MRN-001234, and he has a history of asthma and high blood pressure. His primary care physician is Dr. Jane Smith, 
+   who practices at Springfield Medical Center. His recent blood test results show a cholesterol level of 200 mg/dL and a 
+   blood glucose level of 90 mg/dL.
+" Output:  """
+# You can use the function as before
+response = remove_pii_info(
+    model,
+    tokenizer,
+    prompt,
+    temperature=0.7)
+
+print(response)
+```