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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77c829d09dacce7958bf4722ec7d4048fa1353c0a75e77737e469a5b25931b51
- Size of remote file:
- 437 MB
- SHA256:
- 66dc5fe2c812678ea0c402934b473b5a3a3cd7dbd228d7e964ca0adc3f337451
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