Instructions to use SMG0/Araberv2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMG0/Araberv2_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SMG0/Araberv2_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SMG0/Araberv2_large") model = AutoModelForSequenceClassification.from_pretrained("SMG0/Araberv2_large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffe00750d7c59c58b11d104ea21c7dbbf107a94d19af9a2d9d2a30751e921719
- Size of remote file:
- 3.96 kB
- SHA256:
- 15236396e9aec1c1b1ff441ff094a5a2a6cc3bc64140aa248db15a653793c3e9
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