Text Classification
Transformers
Safetensors
deberta
deberta-v3
multiple-choice
question-answering
awp
Instructions to use dahaludba/QSolver_Encoder_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dahaludba/QSolver_Encoder_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dahaludba/QSolver_Encoder_V2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dahaludba/QSolver_Encoder_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3d5e6105f662336776d56f87002b1b1f14e839988ed9c5db1115b1411896cbe
- Size of remote file:
- 5.27 kB
- SHA256:
- 80484bb554b36e608182a7e6f9f3e188be9850cd1a31d3ea0f71276516adda56
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