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:
- 932d8fa828ebc29c02d42a9411cdcd1e27c9e71a7bb0bf5e7adf56711d1f3d52
- Size of remote file:
- 1.36 kB
- SHA256:
- 88978e4d5de3bd6a4943624c01beebb7945874f99bc892eabd7a4ac09e706bb7
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