Instructions to use SMG0/Model3_Marabertv2_T2_WOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMG0/Model3_Marabertv2_T2_WOS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SMG0/Model3_Marabertv2_T2_WOS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SMG0/Model3_Marabertv2_T2_WOS") model = AutoModelForSequenceClassification.from_pretrained("SMG0/Model3_Marabertv2_T2_WOS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 161076d27a43ac20cd5b778c11fe04fcb3508fd942ef622389e64d1ec6be3593
- Size of remote file:
- 3.96 kB
- SHA256:
- 6be3e4f98eb96bebe181afd13364ce8ba70db888f25427c10f885613e6ee4ce7
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