Update README.md

README.md

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-language: en
-thumbnail: http://www.huggingtweets.com/dulari_sister/1676026609811/predictions.png
-tags:
-- huggingtweets
 widget:
-- text: "My dream is"
----
-
-<div class="inline-flex flex-col" style="line-height: 1.5;">
-    <div class="flex">
-        <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/1614604068818931712/Nf9g-B08_400x400.jpg&#39;)">
-        </div>
-        <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="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>
-    <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">❣️दुलारी बहन ❣️</div>
-    <div style="text-align: center; font-size: 14px;">@dulari_sister</div>
-</div>
-
-I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
-
-Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
-
-## How does it work?
-
-The model uses the following pipeline.
-
-![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
-
-To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
-
-## Training data
-
-The model was trained on tweets from ❣️दुलारी बहन ❣️.
-
-| Data | ❣️दुलारी बहन ❣️ |
-| --- | --- |
-| Tweets downloaded | 1014 |
-| Retweets | 84 |
-| Short tweets | 165 |
-| Tweets kept | 765 |
-
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/bdms052n/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 @dulari_sister's tweets.
-
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/ozoko36e) for full transparency and reproducibility.
-
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ozoko36e/artifacts) is logged and versioned.
-
-## How to use
-
-You can use this model directly with a pipeline for text generation:
-
-```python
-from transformers import pipeline
-generator = pipeline('text-generation',
-                     model='huggingtweets/dulari_sister')
-generator("My dream is", num_return_sequences=5)
-```
-
-## Limitations and bias
-
-The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
-
-In addition, the data present in the user's tweets further affects the text generated by the model.
-
-## About
-
-*Built by Boris Dayma*
-
-[![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
-
-For more details, visit the project repository.
-
-[![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
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