Instructions to use SMG0/Model4_arabertv2_base_T1_WS_A100_2nd_F1_BL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMG0/Model4_arabertv2_base_T1_WS_A100_2nd_F1_BL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SMG0/Model4_arabertv2_base_T1_WS_A100_2nd_F1_BL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SMG0/Model4_arabertv2_base_T1_WS_A100_2nd_F1_BL") model = AutoModelForSequenceClassification.from_pretrained("SMG0/Model4_arabertv2_base_T1_WS_A100_2nd_F1_BL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d26f630c971f093f4a25bd0f0735c35d3be31744a6ab5581a31d10c3ddcfd04f
- Size of remote file:
- 541 MB
- SHA256:
- 628faad84eff4e1a3505071c2390f498a99852ba2148d2c325fc791f05ffec97
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