Instructions to use salti/AraElectra-base-finetuned-ARCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salti/AraElectra-base-finetuned-ARCD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="salti/AraElectra-base-finetuned-ARCD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("salti/AraElectra-base-finetuned-ARCD") model = AutoModelForQuestionAnswering.from_pretrained("salti/AraElectra-base-finetuned-ARCD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a2ff45ce896ffbb1dd8741c3af4f5c5bb4d08e814299c0486426b901b433113
- Size of remote file:
- 538 MB
- SHA256:
- 1c9b2cde5480ed3d25e69a6920a58152478f80f26fc44a5976e2c342ec93a4d6
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