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:
- 7d8507f6ad80d8981e39d33add97e8ed2541dbb17a300915f7e549780d1ab72e
- Size of remote file:
- 38 MB
- SHA256:
- bbab9ccc25cd3671ec2f17abcd4de5472bf96fed52468233ad13f7112e967798
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