File size: 2,678 Bytes
c9c30a0 8de4019 a7aaed2 c9c30a0 8de4019 20af540 8de4019 a5757a2 8de4019 5bb0510 82a9ec6 5bb0510 8de4019 5bb0510 8de4019 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
license: mit
language:
- en
widget:
- text: >-
A nervous passenger is about to book a flight ticket, and he asks the
airlines' ticket seller, 'I hope your planes are safe. Do they have a good
track record for safety?' The airline agent replies, 'Sir, I can guarantee
you, we've never had a plane that has crashed more than once.'
example_title: A joke
- text: >-
Let me, however, hasten to assure that I am the same Gandhi as I was in
1920. I have not changed in any fundamental respect. I attach the same
importance to nonviolence that I did then. If at all, my emphasis on it has
grown stronger. There is no real contradiction between the present
resolution and my previous writings and utterances.
example_title: Not a joke
tags:
- deberta
- deberta-v3
---
### What is this?
This model has been developed to detect "narrative-style" jokes, stories and anecdotes (i.e. they are narrated as a story) spoken during speeches or conversations etc. It works best when jokes/anecdotes are at least 40 words or longer. It is based on [Moritz Laurer's DeBERTa-v3](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli).
The training dataset was a private collection of around 2000 jokes. This model has not been trained or tested on one-liners, puns or Reddit-style language-manipulation jokes such as knock-knock, Q&A jokes etc.
See the example in the inference widget or How to use section for what constitues a narrative-style joke.
For a slightly less accurate model (0.4% less) that is 65% faster at inference, see the [Roberta model](https://huggingface.co/Reggie/muppet-roberta-base-joke_detector). For a much more inaccurate model (2.9% less) that is way faster at inference, see the [distilbert model](https://huggingface.co/Reggie/distilbert-joke_detector).
### Install these first
You'll need to pip install transformers & maybe sentencepiece
### How to use
```python
from transformers import pipeline
import torch
device = 0 if torch.cuda.is_available() else -1
model_name = 'Reggie/DeBERTa-v3-base-joke_detector/'
max_seq_len = 510
pipe = pipeline(model=model_name, device=device, truncation=True, max_length=max_seq_len)
is_it_a_joke = """A nervous passenger is about to book a flight ticket, and he asks the airlines' ticket seller, "I hope your planes are safe. Do they have a good track record for safety?" The airline agent replies, "Sir, I can guarantee you, we've never had a plane that has crashed more than once." """
result = pipe(is_it_a_joke) # [{'label': 'LABEL_1', 'score': 0.7313136458396912}]
print('This is a joke') if result[0]['label'] == 'LABEL_1' else print('This is not a joke')
``` |