Update README.md

README.md

@@ -107,40 +107,14 @@ RepoQA: a benchmark for long context code understanding
 ## Usage
 
 ### Requirements
-Phi-3 family has been integrated in the `4.43.0` version of `transformers`. The current `transformers` version can be verified with: `pip list | grep transformers`.
-
-Examples of required packages:
-```
-flash_attn==2.5.8
-torch==2.3.1
-accelerate==0.31.0
-transformers==4.43.0
-```
-
-Phi-3.5-mini-instruct is also available in [Azure AI Studio](https://aka.ms/try-phi3.5mini)
-
-### Tokenizer
-
-Phi-3.5-mini-Instruct supports a vocabulary size of up to `32064` tokens. The [tokenizer files](https://huggingface.co/microsoft/Phi-3.5-mini-instruct/blob/main/added_tokens.json) already provide placeholder tokens that can be used for downstream fine-tuning, but they can also be extended up to the model's vocabulary size.
-
-### Input Formats
-Given the nature of the training data, the Phi-3.5-mini-instruct model is best suited for prompts using the chat format as follows:
-
-```
-<|system|>
-You are a helpful assistant.<|end|>
-<|user|>
-How to explain Internet for a medieval knight?<|end|>
-<|assistant|>
-```
-
-### Loading the model locally with Transformers.js
 
 If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
 ```bash
 npm i @huggingface/transformers
 ```
 
+### Loading the model locally with Transformers.js
+
 You can then use the model to generate text like this:
 
 ```js