Instructions to use universalner/uner_ser_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_ser_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_ser_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_ser_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_ser_set") - Notebooks
- Google Colab
- Kaggle
File size: 193 Bytes
bf52f2e | 1 2 3 4 5 6 7 8 | {
"epoch": 5.0,
"train_loss": 0.03677053214830645,
"train_runtime": 220.3164,
"train_samples": 3329,
"train_samples_per_second": 75.55,
"train_steps_per_second": 4.743
} |