Instructions to use MayBashendy/Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MayBashendy/Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "MayBashendy/Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a675eaf24fe7cb0cd8a4b703c4e4b9cbb9b9d69705e60711f8bbdab42c6701dd
- Size of remote file:
- 5.37 kB
- SHA256:
- 53db1ccb28daf805ea5deda759153f03cd8f85c56fdd68c7788bdc4a61068491
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