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-977 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-977 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-977")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-one-liners-977") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-one-liners-977") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload trainer_state.json with huggingface_hub 725a505
Upload scaler.pt with huggingface_hub ecbd91a
Upload pytorch_model.bin with huggingface_hub aca7a2e
Upload training_args.bin with huggingface_hub e80ee37
Upload scheduler.pt with huggingface_hub 3ae253b
Upload config.json with huggingface_hub 7cab1b4
Upload optimizer.pt with huggingface_hub fd535ae
Upload rng_state.pth with huggingface_hub 852d9cc
initial commit c78c317
Vladimir Kniazhevski commited on