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:
- 80704b6cfcbfbf422cb7569fd8e9760c95dfb2b234d0cc2efa4e14a87e62b27d
- Size of remote file:
- 38 MB
- SHA256:
- 5a976e2e401d9fc30da3fd60b311ad2bda3b1c4db894fe428a3bd7f801a6e20d
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