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-reddit-jokes-last-laught-977 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Humor-Research/humor-detection-reddit-jokes-last-laught-977 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Humor-Research/humor-detection-reddit-jokes-last-laught-977")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-reddit-jokes-last-laught-977") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-reddit-jokes-last-laught-977", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ac65136
1
Parent(s): fdf9553
Upload training_args.bin with huggingface_hub
Browse files- training_args.bin +3 -0
training_args.bin
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