Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a41bb40886a902fae48ce6513d83661da20996bad54373c8bdf650b2b69ec3e
- Size of remote file:
- 436 MB
- SHA256:
- c5b4c8f013bbd83ca703ddb09467099b6a605a5eceadc48a9e24e670b35f8751
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