Question Answering
Transformers
PyTorch
Safetensors
English
deberta-v2
deberta
deberta-v3
deberta-v3-large
Eval Results (legacy)
Instructions to use deepset/deberta-v3-large-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/deberta-v3-large-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/deberta-v3-large-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/deberta-v3-large-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/deberta-v3-large-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit 路
a02020b
1
Parent(s): de73c83
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,7 +8,7 @@ tags:
|
|
| 8 |
- deberta-v3
|
| 9 |
- deberta-v3-large
|
| 10 |
---
|
| 11 |
-
#
|
| 12 |
|
| 13 |
This is the [deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) model, fine-tuned using the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
|
| 14 |
|
|
|
|
| 8 |
- deberta-v3
|
| 9 |
- deberta-v3-large
|
| 10 |
---
|
| 11 |
+
# deberta-v3-large for QA
|
| 12 |
|
| 13 |
This is the [deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) model, fine-tuned using the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
|
| 14 |
|