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:
- fe50f08103e3ec3bad4120bba50553d2212a09d6bb7d67e3c3f7d66f450305d0
- Size of remote file:
- 1.35 kB
- SHA256:
- e36accf692a15322bac374fdbb532bc2f0bc62d05e975cc870f4530e1c9967d0
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