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:
- b58dc87eaf6e2a973d4304db4d91b0fe7e1fe32c3c9aa8fa168bdd72d962c26a
- Size of remote file:
- 5.39 kB
- SHA256:
- d2f1adfeab5b878e23075d9ce65374fe908112ad4fdc3ea083b3fff413cae702
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