Instructions to use SinaLab/ArBanking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/ArBanking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SinaLab/ArBanking77")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArBanking77") model = AutoModelForSequenceClassification.from_pretrained("SinaLab/ArBanking77") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b6ae901494ad2a58e69b01e66089f8ebe137897ee7d1315579d340b05a39c2b
- Size of remote file:
- 541 MB
- SHA256:
- f66bec3b60930351383c9649cbcdc51fe90761ca7c3992fd8c32c2919a35cd6f
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