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
| { | |
| "model_name": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2", | |
| "max_length": 128, | |
| "epochs": 25, | |
| "batch_size": 16, | |
| "lr_encoder": 8e-06, | |
| "lr_heads": 0.0004, | |
| "weight_decay": 0.05, | |
| "task_weight_macro": 1.2, | |
| "task_weight_intent": 1.5, | |
| "task_weight_context": 0.8, | |
| "device": "cuda", | |
| "output_dir": "models\\artifacts", | |
| "seed": 42, | |
| "patience": 5, | |
| "min_delta": 0.001 | |
| } |