Instructions to use dany0407/token_classification_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dany0407/token_classification_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dany0407/token_classification_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dany0407/token_classification_NER") model = AutoModelForTokenClassification.from_pretrained("dany0407/token_classification_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8fff9f06dffc439662c0c539631ccf3e27cf521e88dd5f12f87169e8da148a8
- Size of remote file:
- 5.78 kB
- SHA256:
- 3860c72da70302111e678c245441238d51aab79d1fc52874ea4b3023c2db674d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.