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:
- 8abe42610a12344a421def0e8d3318996dc1643f6f83cf7bb7c7ac8c0f432ae6
- Size of remote file:
- 1.11 GB
- SHA256:
- 2efa727f93fb7fe04ed2a1bc2fb50d59f1045075457e6a0caf0b9cae50895375
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