cocojamgg / README.md
1 ---
2 language: en
3 thumbnail: https://www.huggingtweets.com/cocojamgg/1621653883164/predictions.png
4 tags:
5 - huggingtweets
6 widget:
7 - text: "My dream is"
8 ---
9
10 <div class="inline-flex flex-col" style="line-height: 1.5;">
11 <div class="flex">
12 <div
13 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/1081720632042287106/W_D_Ir3Z_400x400.jpg&#39;)">
14 </div>
15 <div
16 style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
17 </div>
18 <div
19 style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
20 </div>
21 </div>
22 <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
23 <div style="text-align: center; font-size: 16px; font-weight: 800">cocojam™</div>
24 <div style="text-align: center; font-size: 14px;">@cocojamgg</div>
25 </div>
26
27 I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
28
29 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)!
30
31 ## How does it work?
32
33 The model uses the following pipeline.
34
35 ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
36
37 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).
38
39 ## Training data
40
41 The model was trained on tweets from cocojam™.
42
43 | Data | cocojam™ |
44 | --- | --- |
45 | Tweets downloaded | 3228 |
46 | Retweets | 446 |
47 | Short tweets | 523 |
48 | Tweets kept | 2259 |
49
50 [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3jjl7x6f/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
51
52 ## Training procedure
53
54 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @cocojamgg's tweets.
55
56 Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/sgoyl3sa) for full transparency and reproducibility.
57
58 At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/sgoyl3sa/artifacts) is logged and versioned.
59
60 ## How to use
61
62 You can use this model directly with a pipeline for text generation:
63
64 ```python
65 from transformers import pipeline
66 generator = pipeline('text-generation',
67 model='huggingtweets/cocojamgg')
68 generator("My dream is", num_return_sequences=5)
69 ```
70
71 ## Limitations and bias
72
73 The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
74
75 In addition, the data present in the user's tweets further affects the text generated by the model.
76
77 ## About
78
79 *Built by Boris Dayma*
80
81 [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
82
83 For more details, visit the project repository.
84
85 [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
86