Text Classification
Transformers
Safetensors
Arabic
bert
sentiment-analysis
arabic
saudi-arabic
saudi-dialect
google-maps-reviews
camelbert
fine-tuned
text-embeddings-inference
Instructions to use whrivt/camelbert-saudi-gmaps-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whrivt/camelbert-saudi-gmaps-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whrivt/camelbert-saudi-gmaps-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whrivt/camelbert-saudi-gmaps-sentiment") model = AutoModelForSequenceClassification.from_pretrained("whrivt/camelbert-saudi-gmaps-sentiment") - Notebooks
- Google Colab
- Kaggle
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