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:
- e8a7029729448f880707b66c34c8e65530f5f43cdec898247b6ffe60cfbe89a4
- Size of remote file:
- 1.35 kB
- SHA256:
- 0ac2a4659423a5cd6572efce5c602abf63554557fc01f111c9f916574640fef9
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