Instructions to use msmadi/Fanar-1-9B-Islamic-Inheritance-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use msmadi/Fanar-1-9B-Islamic-Inheritance-Reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("QCRI/Fanar-1-9B") model = PeftModel.from_pretrained(base_model, "msmadi/Fanar-1-9B-Islamic-Inheritance-Reasoning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75f163f76a9f58791f4e7a1ef2b37f8c65c588f43b67c77f348de4128501868b
- Size of remote file:
- 432 MB
- SHA256:
- 231f35589d0a0b539cd0a1d426df3c5b7977e2acb0d9ba6fafbaf0321b2a3544
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.