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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:be9f77d74554184f963b6d1abe375964b98eb06ec2cd3a42a25b4a2a2505499f
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size 541037964
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