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