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