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eri_razapii-marisakura-miyakomx
huggingtweets/eri_razapii-marisakura-miyakomx
eri_razapii-marisakura-miyakomx is a machine learning model from huggingtweets. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
<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; bac…
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Updated Jan 31, 2022
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At a glance
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 31, 2022
- SHA
- 3122c0ef
Try a prompt
Model card
From the Hugging Face model README
<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('https://pbs.twimg.com/profile_images/1463699400405164034/aRY9jlnO_400x400.jpg')">
</div>
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1460131579930755073/ln4j-nWU_400x400.jpg')">
</div>
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1466279279667277828/VqmxK5gB_400x400.jpg')">
</div>
</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">えりらざぴ | SHE CEO/CCO & 櫻本真理 cotree/CoachEd & 吉澤美弥子🤿Coral Capital</div>
<div style="text-align: center; font-size: 14px;">@eri_razapii-marisakura-miyakomx</div>
</div>
I was made with huggingtweets.
Create your own bot based on your favorite user with the demo!
How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the W&B report.
Training data
The model was trained on tweets from えりらざぴ | SHE CEO/CCO & 櫻本真理 cotree/CoachEd & 吉澤美弥子🤿Coral Capital.
| Data | えりらざぴ | SHE CEO/CCO | 櫻本真理 cotree/CoachEd | 吉澤美弥子🤿Coral Capital | | --- | --- | --- | --- | | Tweets downloaded | 3232 | 3205 | 1206 | | Retweets | 1781 | 1564 | 79 | | Short tweets | 959 | 877 | 736 | | Tweets kept | 492 | 764 | 391 |
Explore the data, which is tracked with W&B artifacts at every step of the pipeline.
Training procedure
The model is based on a pre-trained GPT-2 which is fine-tuned on @eri_razapii-marisakura-miyakomx's tweets.
Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility.
At the end of training, the final model is logged and versioned.
How to use
You can use this model directly with a pipeline for text generation:
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/eri_razapii-marisakura-miyakomx')
generator("My dream is", num_return_sequences=5)
Limitations and bias
The model suffers from the same limitations and bias as GPT-2.
In addition, the data present in the user's tweets further affects the text generated by the model.
About
Built by Boris Dayma
For more details, visit the project repository.
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Jan 31, 2022