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")# 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") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload trainer_state.json with huggingface_hub 7460b29
Upload scaler.pt with huggingface_hub be8f27c
Upload pytorch_model.bin with huggingface_hub 15bd80a
Upload training_args.bin with huggingface_hub fa384fc
Upload scheduler.pt with huggingface_hub ae90676
Upload config.json with huggingface_hub 3701648
Upload optimizer.pt with huggingface_hub 360d001
Upload rng_state.pth with huggingface_hub 89cdfb7
initial commit 162e984
Vladimir Kniazhevski commited on