Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da-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-da-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-da-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b34898a5f3fae7fc48260d0e078a586a907b6573a382c7dfba7cfec8de948882
- Size of remote file:
- 436 MB
- SHA256:
- e873919e8a1e90663870a791d7eda9dabc572b03605cf671d9478f60e0230c0c
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