Instructions to use badrben/Arabic_Open_Questions_5_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use badrben/Arabic_Open_Questions_5_6 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "badrben/Arabic_Open_Questions_5_6") - Transformers
How to use badrben/Arabic_Open_Questions_5_6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("badrben/Arabic_Open_Questions_5_6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0df80fef4e7cf8524a9073b4cab8e2486e7e7df69193bb847a0d1068adeff978
- Size of remote file:
- 38 MB
- SHA256:
- bc11d4532dd36c5f168682394b5a960f15d1858e561fcf2df2483ea82ef71806
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.