New model from https://wandb.ai/wandb/huggingtweets/runs/tbaec6mo

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/elonmusk/1653649331930/predictions.png
+thumbnail: SOCIAL_LINK
 tags:
 - huggingtweets
 widget:
@@ -20,8 +20,8 @@ widget:
         </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">Elon Musk</div>
-    <div style="text-align: center; font-size: 14px;">@elonmusk</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">USER_NAME</div>
+    <div style="text-align: center; font-size: 14px;">@USER_HANDLE</div>
 </div>
 
 I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
 
 ## Training data
 
-The model was trained on tweets from Elon Musk.
+The model was trained on tweets from USER_NAME.
 
-| Data | Elon Musk |
-| --- | --- |
-| Tweets downloaded | 421 |
-| Retweets | 14 |
-| Short tweets | 118 |
-| Tweets kept | 289 |
+| Data | TABLE_USER |
+| --- | TABLE_SPLIT |
+| Tweets downloaded | TWEETS_DL |
+| Retweets | RETWEETS |
+| Short tweets | SHORT_TWEETS |
+| Tweets kept | TWEETS_KEPT |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1bh6v0e2/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](WANDB_PREPROCESS/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 @elonmusk's tweets.
+The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @USER_HANDLE's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/wbtn7nd3) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/tbaec6mo) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/wbtn7nd3/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/tbaec6mo/artifacts) is logged and versioned.
 
 ## How to use
 
@@ -64,7 +64,7 @@ You can use this model directly with a pipeline for text generation:
 ```python
 from transformers import pipeline
 generator = pipeline('text-generation',
-                     model='huggingtweets/elonmusk')
+                     model='huggingtweets/USER_HANDLE')
 generator("My dream is", num_return_sequences=5)
 ```
 

pytorch_model.bin

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training_args.bin

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