Instructions to use MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_grammar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_grammar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_grammar")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_grammar") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_grammar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95312aa1ac6c451609297bc6c650d8c0110958526cbbe0922ac63df71165a918
- Size of remote file:
- 5.24 kB
- SHA256:
- 6a38dd55e211eeb82cac7a46674b3c18c26402f726e9a9f48d2e7752981aac5e
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