Update README.md

README.md

@@ -16,8 +16,23 @@ pipeline_tag: text-classification
 
 
 
-# code
+# Uploaded  model
+
+- **Developed by:** EpistemeAI
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/gemma-2-9b-bnb-4bit
+
+This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
+How to use
+This repository contains two versions of Meta-Llama-3.1-8B-Instruct, for use with transformers and with the original llama codebase.
+
+Use with transformers
+Starting with transformers >= 4.43.0 onward, you can run conversational inference using the Transformers pipeline abstraction or by leveraging the Auto classes with the generate() function.
 
+Make sure to update your transformers installation via pip install --upgrade transformers.
 
 ```python
 from unsloth import FastLanguageModel
@@ -45,16 +60,6 @@ outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
 tokenizer.batch_decode(outputs)
 ```
 
-# Uploaded  model
-
-- **Developed by:** EpistemeAI
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-2-9b-bnb-4bit
-
-This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
-
 --
 
 ### Inputs and outputs