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:
- 01bd29658ad1b5785f5eb6515bd6ceff9a3b0de66c07d77645a6823ae25d0cfe
- Size of remote file:
- 1.74 GB
- SHA256:
- 96b28441f15018352c6a4786a32a5ae99a2c443d1f4f5527693c6b156844593e
路
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