Instructions to use Alaeddin/convbert-base-turkish-ner-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alaeddin/convbert-base-turkish-ner-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Alaeddin/convbert-base-turkish-ner-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Alaeddin/convbert-base-turkish-ner-cased") model = AutoModelForTokenClassification.from_pretrained("Alaeddin/convbert-base-turkish-ner-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Alaeddin/convbert-base-turkish-ner-cased: direct link, hf CLI and curl.
- Browser
- Download file 427 MB
-
https://huggingface.co/Alaeddin/convbert-base-turkish-ner-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Alaeddin/convbert-base-turkish-ner-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Alaeddin/convbert-base-turkish-ner-cased/resolve/main/pytorch_model.bin
427 MB
- Xet hash:
- f2d43419ca226f9959da3fc5cbe00c3c807257b2d3e20bd9a0aff53ff8a5eb3a
- Size of remote file:
- 427 MB
- SHA256:
- 1addbea45d38147cf9440f87a206f4e4f5b6f10ca7718effd6675059757e1442
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