Instructions to use SMG0/Model3_Marabertv2_T1_WOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMG0/Model3_Marabertv2_T1_WOS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SMG0/Model3_Marabertv2_T1_WOS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SMG0/Model3_Marabertv2_T1_WOS") model = AutoModelForSequenceClassification.from_pretrained("SMG0/Model3_Marabertv2_T1_WOS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d0bd3d9de6bac84f7bb050aae55a537777256f325ecd1793466e6a6af527eb
- Size of remote file:
- 3.96 kB
- SHA256:
- e484431846a772e6df0e716a8e33072b02dcfe6dcdf1ce40e46d468582af7427
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