Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use PulseWave/PAYMENT-OPTIONS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use PulseWave/PAYMENT-OPTIONS with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("PulseWave/PAYMENT-OPTIONS") - sentence-transformers
How to use PulseWave/PAYMENT-OPTIONS with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PulseWave/PAYMENT-OPTIONS") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!