Text Classification
Transformers
PyTorch
Arabic
bert
text classification
Sentiment
text-embeddings-inference
Instructions to use Ammar-alhaj-ali/arabic-MARBERT-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ammar-alhaj-ali/arabic-MARBERT-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ammar-alhaj-ali/arabic-MARBERT-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ammar-alhaj-ali/arabic-MARBERT-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Ammar-alhaj-ali/arabic-MARBERT-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a804507c4fecc679e9569c264b2fdf966346a7632a7756b277fa66ccd21b4e5
- Size of remote file:
- 3.25 kB
- SHA256:
- 652a1738f4d85f4b0fb1dbcbade5130f496a1fd86ac06b501205e0849030a216
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