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:
- 0a5914a6e0180d39f18ec707e2cd27d66cbf1c64a7b96809deaca0c5d468bcec
- Size of remote file:
- 651 MB
- SHA256:
- b2b7860802fda51142019b822766122369ef72bed7765d7a71204412ca900dc8
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