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
| {"dataset": "/content/drive/My Drive/Token_classification_for_Turkish_NER/TurkNER_with_mDeBERTa/", "transformers_model": "microsoft/mdeberta-v3-base", "random_seed": 1234, "lr": 2e-05, "total_step": 5512, "warmup_step": 100, "weight_decay": 0.01, "batch_size": 8, "max_seq_length": 512, "fp16": false, "max_grad_norm": 1.0, "lower_case": false} |