Question Answering
Transformers
PyTorch
Safetensors
English
deberta-v2
deberta
deberta-v3
mdeberta
squad
squad_v2
Eval Results (legacy)
Instructions to use sjrhuschlee/mdeberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjrhuschlee/mdeberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sjrhuschlee/mdeberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sjrhuschlee/mdeberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("sjrhuschlee/mdeberta-v3-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 482de8082e422ee6c4df64b9b60d8c86dae40c77acb720ccaf7ee5c2eb61adb0
- Size of remote file:
- 16.3 MB
- SHA256:
- c6b52ff7043b8e7c0712d94ffa3c8a9c9522538157a11f5b59dd9051105497b7
路
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