Instructions to use Arabic-Clip-Archive/bert-base-arabertv2-Vit-B-32-using-tf_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arabic-Clip-Archive/bert-base-arabertv2-Vit-B-32-using-tf_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Arabic-Clip-Archive/bert-base-arabertv2-Vit-B-32-using-tf_3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Arabic-Clip-Archive/bert-base-arabertv2-Vit-B-32-using-tf_3") model = AutoModel.from_pretrained("Arabic-Clip-Archive/bert-base-arabertv2-Vit-B-32-using-tf_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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