Update README.md

README.md

@@ -1,5 +1,10 @@
 ---
 license: cc-by-nc-4.0
+language:
+- en
+library_name: transformers
+tags:
+- data labeling
 ---
 <div style="width: auto; margin-left: auto; margin-right: auto; background-color:black">
 <img src="https://assets-global.website-files.com/6423879a8f63c1bb18d74bfa/648818d56d04c3bdf36d71ab_Refuel_rev8-01_ts-p-1600.png" alt="Refuel.ai" style="width: 100%; min-width: 400px; display: block; margin: auto;">
@@ -7,28 +12,24 @@ license: cc-by-nc-4.0
 
 ## Model Details
 
-RefuelLLM-2-small, aka Llama-3-Refueled, is a Llama3-8B base model further instruction tuned on a corpus of 2750+ datasets, spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution. 
-We're excited to open-source the model for the community to build on top of. 
+RefuelLLM-2-small, aka Llama-3-Refueled, is a Llama3-8B base model instruction tuned on a corpus of 2750+ datasets, spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution. We're excited to open-source the model for the community to build on top of. 
+
 * More details about [RefuelLLM-2 family of models](https://www.refuel.ai/blog-posts/announcing-refuel-llm-2)
 * You can also try out the models in Refuel's [LLM playground](https://labs.refuel.ai/playground)
 
-**Model developers** Refuel AI
+**Model developers** - Refuel AI
 
-**Input** Models input text only.
+**Input** - Text only.
 
-**Output** Models generate text only.
+**Output** - Text only.
 
-**Model Architecture** RefuelLLM-2-small is built on top of Llama-3-8B-instruct which is an auto-regressive language model that uses an optimized transformer architecture. 
+**Architecture** - RefuelLLM-2-small is built on top of Llama-3-8B-instruct which is an auto-regressive language model that uses an optimized transformer architecture. 
 
-**Model Release Date** May 8, 2024.
+**Release Date** - May 8, 2024.
 
 ## How to use
 
-This repository contains weights for RefuelLLM-2-small that are compatible for use with HuggingFace.
-
-### Use with transformers
-
-See the snippet below for usage with Transformers:
+This repository contains weights for RefuelLLM-2-small that are compatible for use with HuggingFace. See the snippet below for usage with Transformers:
 
 ```python
 >>> import torch
@@ -78,4 +79,4 @@ In this section, we report the results for Refuel models on our benchmark of lab
 ## Limitations
 
 The RefuelLLM-v2-small does not have any moderation mechanisms. We're looking forward to engaging with the community 
-on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.
+on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.