Text Classification
Transformers
Safetensors
trained-from-scratch
deberta
sequence-classification
multiple-choice
question-answering
Instructions to use dahaludba/QSolver_Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dahaludba/QSolver_Scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dahaludba/QSolver_Scratch")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dahaludba/QSolver_Scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fc5e0d076821579e637121d63cbe07beed64431468653ad2361398251055b7b
- Size of remote file:
- 5.27 kB
- SHA256:
- ea6bb207c8d0eeeac971249df22f855d54da614a992bb042133cf91fde7ad932
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