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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Humor-Research/humor-detection-one-liners-693: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/Humor-Research/humor-detection-one-liners-693/resolve/main/optimizer.pt
- Command line
-
hf download hf://Humor-Research/humor-detection-one-liners-693/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Humor-Research/humor-detection-one-liners-693/resolve/main/optimizer.pt
997 MB
- Xet hash:
- 55a730508aa9909f595479a76af4339c2e7376f5f082ad8a9034cd429e95f410
- Size of remote file:
- 997 MB
- SHA256:
- 96b4ad3a86b75a9261620990aefbe19139918f5d2b3ad9e8b9a8bb4924342bff
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