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:
- d0d82e763967e0afd7385ec71e9b87296ab0a1257f8ee9208c63ec3ec5243f5f
- Size of remote file:
- 38 MB
- SHA256:
- 9a9d798f760ddba7a01e5d4876f80245cf6b32545d47c3edf9881576b46afbae
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