Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
datasets:
|
| 4 |
+
- Superar/Puntuguese
|
| 5 |
+
language:
|
| 6 |
+
- pt
|
| 7 |
+
pipeline_tag: token-classification
|
| 8 |
+
tags:
|
| 9 |
+
- humor
|
| 10 |
+
- puns
|
| 11 |
+
- pun-location
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# "Não é medo, é recheio": Sequence Labeling for Pun Location and Detection in Portuguese
|
| 15 |
+
|
| 16 |
+
This repository contains the models fine-tuned for the task of Pun Location with Portuguese Language, trained with the [Puntuguese](https://huggingface.co/datasets/Superar/Puntuguese) dataset. There are several models available:
|
| 17 |
+
|
| 18 |
+
- `GlorIA-1.3B-all`
|
| 19 |
+
- `GlorIA-1.3B-positive`
|
| 20 |
+
- `albertina-900m-ptbr-all`
|
| 21 |
+
- `albertina-900m-ptbr-positive`
|
| 22 |
+
- `albertina-900m-ptpt-all`
|
| 23 |
+
- `albertina-900m-ptpt-positive`
|
| 24 |
+
|
| 25 |
+
The `*-all` models were fine-tuned with all the data from the training portion of Puntuguese, including negative examples. Meanwhile, the `*-positive` models were trained only on texts that contain at least one pun sign.
|
| 26 |
+
|
| 27 |
+
We make available all of the models' checkpoints. Therefore, we encourage to walk through the files and find the one most suitable.
|
| 28 |
+
|
| 29 |
+
## How to use
|
| 30 |
+
|
| 31 |
+
To load a model, use the `AutoModelForSequenceClassification.from_pretrained()` method with the `subfolder` argument.
|
| 32 |
+
|
| 33 |
+
For example, if we want to load the checkpoint 500 of `albertina-900m-ptbr-positive`, we need the following code:
|
| 34 |
+
|
| 35 |
+
```python
|
| 36 |
+
from transformers import AutoModelForSequenceClassification
|
| 37 |
+
|
| 38 |
+
model = AutoModelForSequenceClassification.from_pretrained('Superar/Portuguese-Pun-Location',
|
| 39 |
+
subfolder='albertina-900m-ptbr-positive/checkpoint-500')
|
| 40 |
+
```
|
| 41 |
+
|
| 42 |
+
This should load the correct model.
|
| 43 |
+
|
| 44 |
+
## How to cite
|
| 45 |
+
|
| 46 |
+
```bibtex
|
| 47 |
+
@inproceedings{gameiro_etal:epia2024,
|
| 48 |
+
title = {Sequence Labeling for Pun Location and Detection in {{Portuguese}}},
|
| 49 |
+
booktitle = {Proceedings of 23rd {{EPIA}} Conference on Artificial Intelligence, {{EPIA}} 2024},
|
| 50 |
+
author = {Gameiro, Patr{\'{\i}}cia and In{\'a}cio, Marcio and Gon{\c c}alo Oliveira, Hugo and Alves, Ana},
|
| 51 |
+
year = {2024},
|
| 52 |
+
pages = {In press},
|
| 53 |
+
address = {Viana do Castelo, Portugal}
|
| 54 |
+
}
|
| 55 |
+
```
|