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:
- 7abb17d11d38fe9665e86acc68f701afaa73095145e9fb2e325cd89f66b1a118
- Size of remote file:
- 436 MB
- SHA256:
- 229f67c6743267e2aedc8961c042881f2dccd327b01e88633b68ac3a0c5e8f65
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