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-693 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-693 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-693")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-one-liners-693") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-one-liners-693") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload trainer_state.json with huggingface_hub f707cb1
Upload scaler.pt with huggingface_hub ba98d3e
Upload pytorch_model.bin with huggingface_hub 1a6dfa6
Upload training_args.bin with huggingface_hub 5936751
Upload scheduler.pt with huggingface_hub 54aca99
Upload config.json with huggingface_hub 279780d
Upload optimizer.pt with huggingface_hub 69ec22a
Upload rng_state.pth with huggingface_hub 474022b
initial commit 120b0d0
Vladimir Kniazhevski commited on