Instructions to use SebastianKotstein/restberta-qa-parameter-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianKotstein/restberta-qa-parameter-matching with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="SebastianKotstein/restberta-qa-parameter-matching")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SebastianKotstein/restberta-qa-parameter-matching") model = AutoModelForQuestionAnswering.from_pretrained("SebastianKotstein/restberta-qa-parameter-matching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
393efbc
1
Parent(s): 0d6e45a
Citation updated
Browse files
README.md
CHANGED
|
@@ -36,4 +36,14 @@ The model was fine-tuned with ten epochs and a batch size of 16 on Nvidia RTX 30
|
|
| 36 |
- https://zenodo.org/record/8019625
|
| 37 |
|
| 38 |
# Citation:
|
| 39 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
- https://zenodo.org/record/8019625
|
| 37 |
|
| 38 |
# Citation:
|
| 39 |
+
```bibtex
|
| 40 |
+
@INPROCEEDINGS{10.1109/SOSE58276.2023.00020,
|
| 41 |
+
author={Kotstein, Sebastian and Decker, Christian},
|
| 42 |
+
booktitle={2023 IEEE International Conference on Service-Oriented System Engineering (SOSE)},
|
| 43 |
+
title={Semantic Parameter Matching in Web APIs with Transformer-based Question Answering},
|
| 44 |
+
year={2023},
|
| 45 |
+
volume={},
|
| 46 |
+
number={},
|
| 47 |
+
pages={114-123},
|
| 48 |
+
doi={10.1109/SOSE58276.2023.00020}}
|
| 49 |
+
```
|