Instructions to use mohammedahmedezz2004/bayan_model_lora_phase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mohammedahmedezz2004/bayan_model_lora_phase2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("mohammed525671/final_arabic_grammarly_2") model = PeftModel.from_pretrained(base_model, "mohammedahmedezz2004/bayan_model_lora_phase2") - Transformers
How to use mohammedahmedezz2004/bayan_model_lora_phase2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mohammedahmedezz2004/bayan_model_lora_phase2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f677b002dab39bb4d54604030692b4609c708ffdff6ebba1900e38a9eff5707
- Size of remote file:
- 14.3 MB
- SHA256:
- c9b164a95fdd2483535dfb38d8e112bd4c5e1e0b31b937c139a7a8fdc5cf3521
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