Instructions to use universalner/uner_chn_gsdsimp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_chn_gsdsimp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_chn_gsdsimp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_chn_gsdsimp") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_chn_gsdsimp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 192 Bytes
e355eb0 | 1 2 3 4 5 6 7 8 | {
"epoch": 5.0,
"train_loss": 0.07716391067504882,
"train_runtime": 348.8673,
"train_samples": 3998,
"train_samples_per_second": 57.3,
"train_steps_per_second": 3.583
} |