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-semeval-2017-task-7-977 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Humor-Research/humor-detection-semeval-2017-task-7-977 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Humor-Research/humor-detection-semeval-2017-task-7-977")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-semeval-2017-task-7-977") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-semeval-2017-task-7-977", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Humor-Research/humor-detection-semeval-2017-task-7-977: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Humor-Research/humor-detection-semeval-2017-task-7-977/resolve/main/training_args.bin
- Command line
-
hf download hf://Humor-Research/humor-detection-semeval-2017-task-7-977/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Humor-Research/humor-detection-semeval-2017-task-7-977/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- c0126a882939c183a2aea3005f811bb7628970338aa533e84ccd372b9e5290b5
- Size of remote file:
- 3.58 kB
- SHA256:
- 7a5c114be39eec78bf7c990a8570d1e2ffe69f73dcc08e262d4e7d0bc8591b32
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