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 ·
fdf9553
1
Parent(s): feb03b3
Upload scheduler.pt with huggingface_hub
Browse files- scheduler.pt +3 -0
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:392eac351b38b23326d5aed3adca6ecf879643674e0fc93a54048be38accb214
|
| 3 |
+
size 627
|