Instructions to use universalner/uner_swe_tal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_swe_tal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_swe_tal")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_swe_tal") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_swe_tal") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "train_loss": 0.022965262658534, | |
| "train_runtime": 895.4582, | |
| "train_samples": 4304, | |
| "train_samples_per_second": 24.032, | |
| "train_steps_per_second": 6.008 | |
| } |