Instructions to use SinaLab/ArabicWojood-FlatNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/ArabicWojood-FlatNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SinaLab/ArabicWojood-FlatNER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabicWojood-FlatNER") model = AutoModelForMaskedLM.from_pretrained("SinaLab/ArabicWojood-FlatNER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Rename checkpoint_3.pt to pytorch_model.bin
Browse files
checkpoint_3.pt โ pytorch_model.bin
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