Question Answering
Transformers
PyTorch
TensorFlow
Safetensors
English
deberta-v2
deberta
deberta-v3
squad
squad_v2
Eval Results (legacy)
Instructions to use sjrhuschlee/deberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjrhuschlee/deberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sjrhuschlee/deberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sjrhuschlee/deberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("sjrhuschlee/deberta-v3-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f085d9d74d02314d7f61654a2a0b48099225349aa4467fad8c628c21fa68f35
- Size of remote file:
- 735 MB
- SHA256:
- f8d8bb7957e25e14203cd99442b7472c488b93f1e8bcc2342371718f8ad687cf
路
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