Text Classification
Transformers
Safetensors
English
distilbert
humor
deprecated
text-embeddings-inference
Instructions to use iamahmadyasin/humor-intelligence-distilbert-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamahmadyasin/humor-intelligence-distilbert-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamahmadyasin/humor-intelligence-distilbert-256")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iamahmadyasin/humor-intelligence-distilbert-256") model = AutoModelForSequenceClassification.from_pretrained("iamahmadyasin/humor-intelligence-distilbert-256") - Notebooks
- Google Colab
- Kaggle
⚠️ Deprecated
This model has been superseded by iamahmadyasin/humor-distilbert. The 128-vs-256 token comparison showed no meaningful difference (median joke length ~18 words), so only 128-token models are maintained going forward.
See the project repository for the full analysis.
- Downloads last month
- 49