Instructions to use universalner/uner_dan_ddt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_dan_ddt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_dan_ddt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_dan_ddt") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_dan_ddt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "train_loss": 0.028748657929636268, | |
| "train_runtime": 270.7551, | |
| "train_samples": 4384, | |
| "train_samples_per_second": 80.959, | |
| "train_steps_per_second": 5.06 | |
| } |