Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry 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-ca-poetry 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-ca-poetry")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae3ef27aad32e8701f8fd5a8020dec56161972cb2dea481f8a299abaa846e37c
- Size of remote file:
- 436 MB
- SHA256:
- 14fd03017c2c9372ef0041449e9ddf6f8d15fb67a77be8575a1b618eb4b91e5e
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