Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da-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-da-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-da-poetry")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-poetry") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-poetry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CAMeL-Lab/bert-base-arabic-camelbert-da-poetry: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-da-poetry/resolve/main/training_args.bin
- Command line
-
hf download hf://CAMeL-Lab/bert-base-arabic-camelbert-da-poetry/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-da-poetry/resolve/main/training_args.bin
1.36 kB
- Xet hash:
- 6aa96838ba6944a86ccb7e81a2dfb427ea5f2472e3bf9fcae3a2f7253e44d621
- Size of remote file:
- 1.36 kB
- SHA256:
- 70de1cfd4330c1799261c809af56846725a43396d626c3e5cf0c09a0b6069404
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