Instructions to use creat89/NER_FEDA_Cyrillic2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Cyrillic2 with Transformers:
# Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Cyrillic2") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Cyrillic2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 432 Bytes
f644ff0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | results precision recall f1-score support DATE 0.9496 0.9496 0.9496 119 EVT 0.9907 0.9550 0.9725 333 GEOPOLIT 0.9713 0.9769 0.9741 346 LOC 0.9347 0.9444 0.9395 19979 MEDIA 0.9291 0.9704 0.9493 135 MISC 0.7381 0.7045 0.7209 88 ORG 0.8793 0.8718 0.8755 14102 PER 0.9529 0.9501 0.9515 14704 PRO 0.7942 0.8455 0.8190 356 micro avg 0.9238 0.9249 0.9244 50162 macro avg 0.9044 0.9076 0.9058 50162 weighted avg 0.9237 0.9249 0.9243 50162 |