Instructions to use Zaid/off-eval-marbert-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaid/off-eval-marbert-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zaid/off-eval-marbert-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zaid/off-eval-marbert-ar") model = AutoModelForSequenceClassification.from_pretrained("Zaid/off-eval-marbert-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 887a59d87af3af818e48ff9dd9ca683ef1a061b9ecb486966e8781d2ea971c5a
- Size of remote file:
- 651 MB
- SHA256:
- 16e2c67a521a86a7fde2bc5b651a3c6e32c4418bc642f4625af307d1c9f368e5
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