Update README.md

README.md

@@ -39,33 +39,6 @@ response = pipe(conv, max_new_tokens=32)[0]['generated_text'][-1]['content']
 print(response)
 ```
 
-To use the model with quantization:
-
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
-import torch
-
-bnb_config = BitsAndBytesConfig(
-    load_in_4bit=True,
-    bnb_4bit_use_double_quant=True,
-    bnb_4bit_quant_type="nf4",
-    bnb_4bit_compute_dtype=torch.bfloat16
-)
-
-model_id = "nroggendorff/vegetarian-mayo"
-
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config)
-
-prompt = "[INST] What color is the sky? [/INST]"
-inputs = tokenizer(prompt, return_tensors="pt")
-
-outputs = model.generate(**inputs, max_new_tokens=32)
-
-generated_text = tokenizer.batch_decode(outputs)[0]
-print(generated_text)
-```
-
 ## License
 
 This project is licensed under the MIT License.