Instructions to use MLRS/BERTu-upos-allennlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use MLRS/BERTu-upos-allennlp with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://MLRS/BERTu-upos-allennlp") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_epoch": 32, | |
| "peak_worker_0_memory_MB": 4411.46484375, | |
| "peak_gpu_0_memory_MB": 20483.64892578125, | |
| "training_duration": "0:09:30.396633", | |
| "training_start_epoch": 0, | |
| "training_epochs": 51, | |
| "epoch": 51, | |
| "training_pos_accuracy": 0.9999886954555731, | |
| "training_pos_accuracy_words_only": 0.9999870104565824, | |
| "training_loss": 0.00021654496140399715, | |
| "training_worker_0_memory_MB": 4411.46484375, | |
| "training_gpu_0_memory_MB": 20483.64892578125, | |
| "validation_pos_accuracy": 0.989863375936536, | |
| "validation_pos_accuracy_words_only": 0.9891052153737516, | |
| "validation_loss": 0.10308615937829017, | |
| "best_validation_pos_accuracy": 0.9908329660643456, | |
| "best_validation_pos_accuracy_words_only": 0.9901139917280339, | |
| "best_validation_loss": 0.09275933802127838 | |
| } |