Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf 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-glf 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-glf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf") model = AutoModelForTokenClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
bf87d61 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ac0a1735fb7bdc536c74ff783c9fbe64905cc0b8d3cfc76dd0ec3ca6e5fcec7a
size 868200768
|