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Both the GPT2-small-arabic (trained on Arabic Wikipedia) and this model have several limitations in terms of coverage and training performance.
Use them as demonstrations or proof of concepts but not as production code.
Training data
This pretrained model used the
dataset
from several eras with a total of around 1.4m lines.
The dataset was trained (fine-tuned) based on the
aragpt2-medium
transformer model.
Final perplexity reached was 49.56, train loss: 3.336
BibTeX entry and citation info
@inproceedings{Abed Khooli,
year={2023}
}
Runs of akhooli poetry2023 on huggingface.co
15
Total runs
0
24-hour runs
1
3-day runs
-2
7-day runs
-2
30-day runs
More Information About poetry2023 huggingface.co Model
poetry2023 huggingface.co
poetry2023 huggingface.co is an AI model on huggingface.co that provides poetry2023's model effect (), which can be used instantly with this akhooli poetry2023 model. huggingface.co supports a free trial of the poetry2023 model, and also provides paid use of the poetry2023. Support call poetry2023 model through api, including Node.js, Python, http.
poetry2023 huggingface.co is an online trial and call api platform, which integrates poetry2023's modeling effects, including api services, and provides a free online trial of poetry2023, you can try poetry2023 online for free by clicking the link below.
akhooli poetry2023 online free url in huggingface.co:
poetry2023 is an open source model from GitHub that offers a free installation service, and any user can find poetry2023 on GitHub to install. At the same time, huggingface.co provides the effect of poetry2023 install, users can directly use poetry2023 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.