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Update README.md

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  1. README.md +9 -17
README.md CHANGED
@@ -7,10 +7,6 @@ widget:
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  - text: "My dream is"
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  ---
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- <link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
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-
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- <section class='prose'>
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-
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  <div>
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  <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('http://pbs.twimg.com/profile_images/1152601773330370560/UhVRDMyp_400x400.jpg')">
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  </div>
@@ -34,24 +30,24 @@ To understand how the model was developed, check the [W&B report](https://bit.ly
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  The model was trained on [@borisdayma's tweets](https://twitter.com/borisdayma).
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- | Data | Quantity |
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  |-------------------|--------------|
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- | Tweets downloaded | 221 |
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- | Retweets | 38 |
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  | Short tweets | 3 |
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- | Tweets kept | 180 |
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- [Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1b4r1yz3/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @borisdayma's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1msj2qxg) for full transparency and reproducibility.
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  ## Intended uses & limitations
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- ### How to use
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  You can use this model directly with a pipeline for text generation:
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@@ -62,7 +58,7 @@ generator = pipeline('text-generation',
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  generator("My dream is", max_length=50, num_return_sequences=5)
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  ```
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- ### Limitations and bias
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  The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
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@@ -72,12 +68,8 @@ In addition, the data present in the user's tweets further affects the text gene
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  *Built by Boris Dayma*
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- </section>
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-
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  [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/borisdayma)
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- <section class='prose'>
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  For more details, visit the project repository.
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- </section>
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- [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
 
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  - text: "My dream is"
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  ---
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  <div>
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  <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('http://pbs.twimg.com/profile_images/1152601773330370560/UhVRDMyp_400x400.jpg')">
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  </div>
 
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  The model was trained on [@borisdayma's tweets](https://twitter.com/borisdayma).
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+ | Data | Quantity |
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  |-------------------|--------------|
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+ | Tweets downloaded | 230 |
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+ | Retweets | 38 |
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  | Short tweets | 3 |
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+ | Tweets kept | 189 |
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+ [Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/2lcq73t9/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @borisdayma's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/wd7j7n2s) for full transparency and reproducibility.
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  ## Intended uses & limitations
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+ #### How to use
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  You can use this model directly with a pipeline for text generation:
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  generator("My dream is", max_length=50, num_return_sequences=5)
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  ```
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+ #### Limitations and bias
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  The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
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  *Built by Boris Dayma*
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  [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/borisdayma)
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  For more details, visit the project repository.
 
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+ [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)