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
Download tokenizer_config.json from CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry: direct link, hf CLI and curl.
- Browser
- Download file 86 Bytes
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https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry/resolve/main/tokenizer_config.json
86 Bytes
| {"do_lower_case": false, "special_tokens_map_file": null, "full_tokenizer_file": null} |