Text Classification
Transformers
PyTorch
English
roberta
humor-detection
humor-classification
joke-detection
humor-vs-non-humor
binary-classification
english
nlp
computational-humor
Instructions to use Humor-Research/humor-detection-pun-of-the-day-453 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Humor-Research/humor-detection-pun-of-the-day-453 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Humor-Research/humor-detection-pun-of-the-day-453")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-pun-of-the-day-453") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-pun-of-the-day-453", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76fbd864d482786d7a156c0d2e131d49090187d8290565584b8810f86c44e742
- Size of remote file:
- 3.58 kB
- SHA256:
- cb6200e090c266b857493f2d3ad54aeb53e6491be1d27158c0cbea0602af4a12
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