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-453 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-453 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-453")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-one-liners-453") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-one-liners-453", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload trainer_state.json with huggingface_hub c86eaec
Upload scaler.pt with huggingface_hub a269dad
Upload pytorch_model.bin with huggingface_hub 5597df5
Upload training_args.bin with huggingface_hub 5cf8486
Upload scheduler.pt with huggingface_hub e59f25f
Upload config.json with huggingface_hub 0a50686
Upload optimizer.pt with huggingface_hub 7f3d055
Upload rng_state.pth with huggingface_hub 26e8d4a
initial commit 0547b38
Vladimir Kniazhevski commited on