Instructions to use AfnanTS/AraBERT-EngData with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfnanTS/AraBERT-EngData with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AfnanTS/AraBERT-EngData")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AfnanTS/AraBERT-EngData") model = AutoModelForMaskedLM.from_pretrained("AfnanTS/AraBERT-EngData", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2500
Browse files
pytorch_model.bin
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runs/Nov26_08-55-39_c59c48f4875b/events.out.tfevents.1700988972.c59c48f4875b.3988.0
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