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:
- b67d02d3ff7ffcd3bf73117c588619bd0a9d006791b14ff142c2249f1e6f8315
- Size of remote file:
- 5.37 kB
- SHA256:
- 5f66879882615f8e18af2ee51ade03c14f5f8669a4b30555ae8d848968a14493
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