Instructions to use zypchn/berturk-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zypchn/berturk-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zypchn/berturk-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zypchn/berturk-ner") model = AutoModelForTokenClassification.from_pretrained("zypchn/berturk-ner") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- May12_10-01-53_ip-10-192-11-27
- May12_10-57-38_ip-10-192-11-27
- May12_11-01-18_ip-10-192-11-27
- May12_11-12-43_ip-10-192-11-27
- May12_11-26-15_ip-10-192-11-27
- May12_11-35-37_ip-10-192-11-27
- May12_11-52-12_ip-10-192-11-27
- May12_11-56-26_ip-10-192-11-27
- May12_11-59-22_ip-10-192-11-27
- May12_12-05-24_ip-10-192-11-27
- May12_12-09-52_ip-10-192-11-27
- May12_12-24-45_ip-10-192-11-27
- May12_12-33-10_ip-10-192-11-27
- May12_12-37-16_ip-10-192-11-27
- May12_12-46-50_ip-10-192-11-27
- May12_12-47-28_ip-10-192-11-27
- May12_12-48-03_ip-10-192-11-27
- May24_20-00-15_ip-10-192-11-248
- May25_12-05-21_ip-10-192-12-238
- May25_13-04-12_ip-10-192-12-238
- May25_18-17-10_ip-10-192-10-155
- May25_19-17-24_ip-10-192-10-155
- May25_19-59-40_ip-10-192-10-155
- May27_13-29-19_ip-10-192-12-47
- May27_13-34-35_ip-10-192-12-47
- May27_13-35-30_ip-10-192-12-47
- May27_13-39-33_ip-10-192-12-47
- May27_13-46-17_ip-10-192-12-47
- May27_13-48-17_ip-10-192-12-47