New model from https://wandb.ai/wandb/huggingtweets/runs/18w54tsa

README.md

@@ -10,18 +10,18 @@ widget:
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     <div class="flex">
         <div
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-    <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; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI CYBORG 🤖</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Zeneca_33 🍌 & Jacob Martin & TΞtranodΞ (💎, 💎) & dcbuilder.eth 🦇🔊🐼 (3,3)(🧋,🧋)┻┳🦀</div>
+    <div style="text-align: center; font-size: 14px;">@dcbuild3r-tetranode-thenftattorney-zeneca_33</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 Zeneca_33 🍌 & Jacob Martin & TΞtranodΞ (💎, 💎) & dcbuilder.eth 🦇🔊🐼 (3,3)(🧋,🧋)┻┳🦀.
 
-| Data | Elon Musk |
-| --- | --- |
-| Tweets downloaded | 2600 |
-| Retweets | 137 |
-| Short tweets | 736 |
-| Tweets kept | 1727 |
+| Data | Zeneca_33 🍌 | Jacob Martin | TΞtranodΞ (💎, 💎) | dcbuilder.eth 🦇🔊🐼 (3,3)(🧋,🧋)┻┳🦀 |
+| --- | --- | --- | --- | --- |
+| Tweets downloaded | 3250 | 3250 | 3247 | 3250 |
+| Retweets | 7 | 58 | 736 | 318 |
+| Short tweets | 537 | 390 | 555 | 646 |
+| Tweets kept | 2706 | 2802 | 1956 | 2286 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1n0eya9d/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/1562a0v6/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 @dcbuild3r-tetranode-thenftattorney-zeneca_33's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/24qg3mrl) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/18w54tsa) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/24qg3mrl/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/18w54tsa/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/dcbuild3r-tetranode-thenftattorney-zeneca_33')
 generator("My dream is", num_return_sequences=5)
 ```
 

pytorch_model.bin

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training_args.bin

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