Text Classification
Transformers
PyTorch
Enawené-Nawé
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use MMars/arabertv2_flodusta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MMars/arabertv2_flodusta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MMars/arabertv2_flodusta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MMars/arabertv2_flodusta") model = AutoModelForSequenceClassification.from_pretrained("MMars/arabertv2_flodusta") - Notebooks
- Google Colab
- Kaggle
Ctrl+K