Text Classification
Transformers
PyTorch
Safetensors
English
TransformerTextClassificationModel
Eval Results (legacy)
Instructions to use DFKI-SLT/relation_classification_tacred_revisited with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DFKI-SLT/relation_classification_tacred_revisited with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DFKI-SLT/relation_classification_tacred_revisited")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DFKI-SLT/relation_classification_tacred_revisited", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"model_type": "TransformerTextClassificationModel", "model_name_or_path": "bert-base-uncased", "t_total": 21288, "num_classes": 42, "tokenizer_vocab_size": 30560, "ignore_index": 0, "learning_rate": 2e-05, "task_learning_rate": 2e-05, "warmup_proportion": 0.0, "freeze_model": false, "multi_label": false} |