Update README.md

README.md

@@ -20,11 +20,7 @@ Phi-1.5 can write poems, draft emails, create stories, summarize texts, write Py
 
 ## How to Use
 
-Phi-1.5 has been integrated in the `transformers` version 4.37.0. If you are using a lower version, ensure that you are doing the following:
-
-* When loading the model, ensure that `trust_remote_code=True` is passed as an argument of the `from_pretrained()` function.
-
-The current `transformers` version can be verified with: `pip list | grep transformers`.
+Phi-1.5 has been integrated in the `transformers` version 4.37.0, please ensure that you are using a version equal or higher than it.
 
 ## Intended Uses
 
@@ -91,8 +87,6 @@ where the model generates the text after the comments.
 
 * Phi-1.5 has not been tested to ensure that it performs adequately for any production-level application. Please refer to the limitation sections of this document for more details.
 
-* If you are using `transformers<4.37.0`, always load the model with `trust_remote_code=True` to prevent side-effects.
-
 ## Sample Code
 
 ```python
@@ -101,8 +95,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 
 torch.set_default_device("cuda")
 
-model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5", torch_dtype="auto", trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-1_5", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-1_5")
 
 inputs = tokenizer('''def print_prime(n):
    """