Zero-Shot Classification
Transformers
Safetensors
PyTorch
English
zero-shot
multi-label
text-classification
Instructions to use polodealvarado/dynquery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polodealvarado/dynquery with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="polodealvarado/dynquery")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("polodealvarado/dynquery", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 269 Bytes
9aa8271 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"model_type": "dynquery",
"encoder_name": "bert-base-uncased",
"param_count": 111844608,
"num_steps": 1000,
"best_step": 1000,
"batch_size": 2,
"learning_rate": 2e-05,
"train_time_s": 383.03,
"precision": 0.7704,
"recall": 0.9773,
"f1": 0.8616
} |