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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1830810 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f66bec3b60930351383c9649cbcdc51fe90761ca7c3992fd8c32c2919a35cd6f
size 541081197
|