Update README.md

README.md

@@ -7,18 +7,25 @@ language:
 - en
 ---
 
-![An eagle soaring above a transformer robot](https://substackcdn.com/image/fetch/w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F10cf7fd1-6c72-4a99-84c2-794fb7bc52b3_2432x1664.png)
+![An eagle flying high up in the sky](https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F304f2c7a-fc67-4df4-ba57-c6f38f86826c_2688x1536.png)
 
 ### RWKV EagleX 7B v2 Model
 
-> **! Important Note !**
->
-> **This is not meant to be used with the huggingface transformers**
+> **!Important!: This is not meant to be used with the huggingface transformers**  
 > [Use the Hugging Face varient instead, found here (v5-EagleX-v2-7B-HF)](huggingface.co/RWKV/v5-EagleX-v2-7B-HF)
 > 
-> The following is the raw representation of the EagleX 7B v2 model. 
+> The following is the raw representation of the EagleX 7B v2 model. For use with our own set of trainers
 > This is not an instruct tune model! (soon...)
 
+## Using with the hugging face library
+
+[See the huggingface version here (v5-EagleX-v2-7B-HF)](huggingface.co/RWKV/v5-EagleX-v2-7B-HF)
+
+```
+model = AutoModelForCausalLM.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True).to(torch.float32)
+tokenizer = AutoTokenizer.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True)
+```
+
 ## Evaluation
 
 The following shows the progression of the model from 1.1T trained to 2.25T trained.