New model from https://wandb.ai/wandb/huggingtweets/runs/1mmecont

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/ericson_ubbhult/1653982147593/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -47,15 +47,15 @@ The model was trained on tweets from Jan Ericson 🇸🇪🇺🇦.
 | Short tweets | 232 |
 | Tweets kept | 2583 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/qwy6ig6t/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/imczgylz/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 @ericson_ubbhult's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3msw9z6l) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1mmecont) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3msw9z6l/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1mmecont/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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