Text Classification
PyTorch
Safetensors
sentence-transformers
Spanish
multitask-learning
spanish
intent-classification
Instructions to use PIBotBCCh/pibot-intent-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use PIBotBCCh/pibot-intent-router with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PIBotBCCh/pibot-intent-router") 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
| { | |
| "macro": { | |
| "0": "0", | |
| "1": "1" | |
| }, | |
| "intent": { | |
| "0": "methodology", | |
| "1": "other", | |
| "2": "value" | |
| }, | |
| "context": { | |
| "0": "followup", | |
| "1": "standalone" | |
| } | |
| } |