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-47 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-47 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-47")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-one-liners-47") model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-one-liners-47", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b66ae9f
1
Parent(s): d83b369
Upload pytorch_model.bin with huggingface_hub
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0833fa1d6eb392a910838a69fb213890da91449698fef688e368b9e88b2d1fb
|
| 3 |
+
size 498662069
|