Instructions to use jaimin/arabic-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/arabic-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jaimin/arabic-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jaimin/arabic-bert") model = AutoModelForSequenceClassification.from_pretrained("jaimin/arabic-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from jaimin/arabic-bert: direct link, hf CLI and curl.
- Browser
- Download file 885 MB
-
https://huggingface.co/jaimin/arabic-bert/resolve/main/optimizer.pt
- Command line
-
hf download hf://jaimin/arabic-bert/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/jaimin/arabic-bert/resolve/main/optimizer.pt
885 MB
- Xet hash:
- a83793762ffb9aa237938e1ac4ba6d60e39a48ba9c752a6d6b687e7320403cec
- Size of remote file:
- 885 MB
- SHA256:
- 1b49d4e673905a23b0e1bfeda891b7b4b27cf015bb6dab79fb6c020fd88b592e
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