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-one-liners-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Humor-Research/humor-detection-one-liners-23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Humor-Research/humor-detection-one-liners-23")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-one-liners-23") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-one-liners-23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Humor-Research/humor-detection-one-liners-23: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/Humor-Research/humor-detection-one-liners-23/resolve/main/optimizer.pt
- Command line
-
hf download hf://Humor-Research/humor-detection-one-liners-23/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Humor-Research/humor-detection-one-liners-23/resolve/main/optimizer.pt
997 MB
- Xet hash:
- df0a82466277ddaba177c7877108037cfbc0fb1b06c9dc56fcd21e081511cbb1
- Size of remote file:
- 997 MB
- SHA256:
- 14aed218231bf5c91b20ce1c57ccf5d5e25eb0099f4aeb9d07faf6ad60f361a8
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