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-47 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-47 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-47")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-one-liners-47") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-one-liners-47") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload trainer_state.json with huggingface_hub 26aaef4
Upload scaler.pt with huggingface_hub d82275d
Upload pytorch_model.bin with huggingface_hub b66ae9f
Upload training_args.bin with huggingface_hub d83b369
Upload scheduler.pt with huggingface_hub 2173f21
Upload config.json with huggingface_hub 0d24a79
Upload optimizer.pt with huggingface_hub 8aa3d72
Upload rng_state.pth with huggingface_hub 28f9b0a
initial commit 7a2e33e
Vladimir Kniazhevski commited on