Instructions to use ISLAM-PO/MasryGPT-Flash-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ISLAM-PO/MasryGPT-Flash-Adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aubmindlab/aragpt2-base") model = PeftModel.from_pretrained(base_model, "ISLAM-PO/MasryGPT-Flash-Adapter") - Notebooks
- Google Colab
- Kaggle
Download CITATION.cff from ISLAM-PO/MasryGPT-Flash-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 339 Bytes
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https://huggingface.co/ISLAM-PO/MasryGPT-Flash-Adapter/resolve/main/CITATION.cff
- Command line
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hf download hf://ISLAM-PO/MasryGPT-Flash-Adapter/CITATION.cff
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curl -L -o CITATION.cff https://huggingface.co/ISLAM-PO/MasryGPT-Flash-Adapter/resolve/main/CITATION.cff
339 Bytes
| cff-version: 1.2.0 | |
| title: MasryGPT Flash LoRA Adapter | |
| message: If you use this adapter, please cite the base AraGPT2 model and this adapter. | |
| type: software | |
| authors: | |
| - name: islam-alnasherA-Dev | |
| repository-code: https://huggingface.co/ISLAM-PO/MasryGPT-Flash-Adapter | |
| base-model: https://huggingface.co/aubmindlab/aragpt2-base | |
| license: other | |