Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy 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-pos-egy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy") model = AutoModelForTokenClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7316b6537e73aa3daf66996b853545be71b406a14e61159fdeaf0ec22a822ab6
- Size of remote file:
- 1.35 kB
- SHA256:
- b9f47320b240527d2d2de8dcbd5223b6a797505afe191506cab5c7551d4e1afd
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