Instructions to use SinaLab/ArabGlossBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/ArabGlossBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SinaLab/ArabGlossBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabGlossBERT") model = AutoModelForSequenceClassification.from_pretrained("SinaLab/ArabGlossBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download arabert/__pycache__/preprocess.cpython-39.pyc from SinaLab/ArabGlossBERT: direct link, hf CLI and curl.
- Browser
- Download file 21.8 kB
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https://huggingface.co/SinaLab/ArabGlossBERT/resolve/main/arabert/__pycache__/preprocess.cpython-39.pyc
- Command line
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hf download hf://SinaLab/ArabGlossBERT/arabert/__pycache__/preprocess.cpython-39.pyc
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curl -L -o preprocess.cpython-39.pyc https://huggingface.co/SinaLab/ArabGlossBERT/resolve/main/arabert/__pycache__/preprocess.cpython-39.pyc
21.8 kB
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