New model from https://wandb.ai/wandb/huggingtweets/runs/30u1caew

README.md

@@ -1,13 +1,13 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/borisdayma/1620422837296/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
 - text: "My dream is"
 ---
 
-<div class="flex flex-col">
+<div class="inline-flex flex-col">
     <div class="flex" style="line-height: 1.25;">
         <div
 			style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1152601773330370560/UhVRDMyp_400x400.jpg&#39;)">
@@ -18,10 +18,10 @@ widget:
         <div
             style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
         </div>
-        <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
-        <div style="text-align: center; font-size: 16px; font-weight: 800">Boris Dayma</div>
-        <div style="text-align: center; font-size: 14px;">@borisdayma</div>
     </div>
+    <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Boris Dayma</div>
+    <div style="text-align: center; font-size: 14px;">@borisdayma</div>
 </div>
 
 I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -47,15 +47,15 @@ The model was trained on tweets from Boris Dayma.
 | Short tweets | 6 |
 | Tweets kept | 355 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1cai005e/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1fih48g2/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @borisdayma's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3uyqjhzc) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/30u1caew) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3uyqjhzc/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/30u1caew/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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