Instructions to use akdeniz27/mDeBERTa-v3-base-turkish-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akdeniz27/mDeBERTa-v3-base-turkish-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="akdeniz27/mDeBERTa-v3-base-turkish-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("akdeniz27/mDeBERTa-v3-base-turkish-ner") model = AutoModelForTokenClassification.from_pretrained("akdeniz27/mDeBERTa-v3-base-turkish-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a871e079324d420285dd1faba66870ebd05046cd83dd66a566b49b5fbbd4ce13
- Size of remote file:
- 1.11 GB
- SHA256:
- 9827658dbd333ef19ddb271ae257d1f05f3262ad8e34933b24b7d2f76a7309b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.