Question Answering
Transformers
PyTorch
TensorFlow
Safetensors
PEFT
English
deberta-v2
deberta
deberta-v3
squad
squad_v2
lora
Eval Results (legacy)
Instructions to use sjrhuschlee/deberta-v3-large-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjrhuschlee/deberta-v3-large-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sjrhuschlee/deberta-v3-large-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sjrhuschlee/deberta-v3-large-squad2") model = AutoModelForQuestionAnswering.from_pretrained("sjrhuschlee/deberta-v3-large-squad2") - PEFT
How to use sjrhuschlee/deberta-v3-large-squad2 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b593924b0691f52cbdf3485f9c41d6a210cf4aeaae6c2e5af71d4f883f38362
- Size of remote file:
- 14.3 MB
- SHA256:
- 27d3eef13585f522b7aa8708660e2062c681f5900335e19cb410c9bd48d53a31
路
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