Kinyarwanda GPT-2 model based on Andrej Karpathy's nanoGPT. It was trained on a mixture of news data and diverse computer-generated datasets in Kinyarwanda.
To use this model to generate text, download all the files in the repo and put them in the same directory, then run the following command:
python sample.py --out_dir=.
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kinya-gpt-2 huggingface.co is an AI model on huggingface.co that provides kinya-gpt-2's model effect (), which can be used instantly with this DigitalUmuganda kinya-gpt-2 model. huggingface.co supports a free trial of the kinya-gpt-2 model, and also provides paid use of the kinya-gpt-2. Support call kinya-gpt-2 model through api, including Node.js, Python, http.
kinya-gpt-2 huggingface.co is an online trial and call api platform, which integrates kinya-gpt-2's modeling effects, including api services, and provides a free online trial of kinya-gpt-2, you can try kinya-gpt-2 online for free by clicking the link below.
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kinya-gpt-2 is an open source model from GitHub that offers a free installation service, and any user can find kinya-gpt-2 on GitHub to install. At the same time, huggingface.co provides the effect of kinya-gpt-2 install, users can directly use kinya-gpt-2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.