Instructions to use MatMulMan/araelectra-base-discriminator-tydi-tafseer-pairs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatMulMan/araelectra-base-discriminator-tydi-tafseer-pairs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatMulMan/araelectra-base-discriminator-tydi-tafseer-pairs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatMulMan/araelectra-base-discriminator-tydi-tafseer-pairs") model = AutoModelForSequenceClassification.from_pretrained("MatMulMan/araelectra-base-discriminator-tydi-tafseer-pairs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b318f192c3129d25d156d1daef787403de2715e1498b6d0f4aba8ab4117faead
- Size of remote file:
- 541 MB
- SHA256:
- ccf0b24e76b689eaba23736d826461372a06e803b53bea302ae1f6096c9dee04
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