Instructions to use Kalloniatis/Humor-Recognition-Greek-Multilingual-MiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kalloniatis/Humor-Recognition-Greek-Multilingual-MiniLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kalloniatis/Humor-Recognition-Greek-Multilingual-MiniLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kalloniatis/Humor-Recognition-Greek-Multilingual-MiniLM") model = AutoModelForSequenceClassification.from_pretrained("Kalloniatis/Humor-Recognition-Greek-Multilingual-MiniLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Antony KalloniatisVerified signatureb9392ac -
Upload tokenizer
Antony KalloniatisVerified signature61da225 -
Upload BertForSequenceClassification
Antony KalloniatisVerified signature989e384 -
initial commit
Antony KalloniatisVerified signatureedfddbf