Add minor reference to transformers

README.md

@@ -13,7 +13,7 @@ Mistral-7B-v0.3 has the following changes compared to [Mistral-7B-v0.2](https://
 
 ## Installation
 
-It is recommended to use `mistralai/Mistral-7B-Instruct-v0.3` with [mistral-inference](https://github.com/mistralai/mistral-inference)
+It is recommended to use `mistralai/Mistral-7B-Instruct-v0.3` with [mistral-inference](https://github.com/mistralai/mistral-inference). For HF transformers code snippets, please keep scrolling.
 
 ```
 pip install mistral_inference
@@ -115,6 +115,23 @@ result = tokenizer.instruct_tokenizer.tokenizer.decode(out_tokens[0])
 print(result)
 ```
 
+## Generate with `transformers`
+
+If you want to use Hugging Face `transformers` to generate text, you can do something like this.
+
+```py
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "mistralai/Mistral-7B-Instruct-v0.3"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(model_id)
+inputs = tokenizer("Hello my name is", return_tensors="pt")
+
+outputs = model.generate(**inputs, max_new_tokens=20)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
 ## Limitations
 
 The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance.