Text Classification
Transformers
Safetensors
PyTorch
Turkish
bert
token-classification
named-entity-recognition
ner
turkish
ottoman
historical-nlp
text-embeddings-inference
Instructions to use fatihburakkaragoz/ottoman-ner-latin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fatihburakkaragoz/ottoman-ner-latin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fatihburakkaragoz/ottoman-ner-latin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fatihburakkaragoz/ottoman-ner-latin") model = AutoModelForTokenClassification.from_pretrained("fatihburakkaragoz/ottoman-ner-latin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Discussion: Coverage of `fatihburakkaragoz/ottoman-ner-latin`
#2 opened about 1 year ago
by
fatihburakkaragoz
torch.cuda.is_available() returns False despite visible GPU and correct drivers (CUDA 12.8)
#1 opened over 1 year ago
by
rekurrenz