updated model card: removed token parameter from example

README.md

@@ -78,7 +78,7 @@ print(tokenizer.batch_decode(outputs.detach().cpu().numpy()[:, input_ids.shape[1
 If you are facing issues when loading the model, you can try to load it quantized:
 
 ```python
-model = AutoModelForCausalLM.from_pretrained(model_id, token=token, load_in_8bit=True)
+model = AutoModelForCausalLM.from_pretrained(model_id, load_in_8bit=True)
 ```
 
 *Note*: The model loading strategy above requires the [*bitsandbytes*](https://pypi.org/project/bitsandbytes/) and [*accelerate*](https://pypi.org/project/accelerate/) libraries