Instructions to use ctoraman/deprem-convberturk-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/deprem-convberturk-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ctoraman/deprem-convberturk-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ctoraman/deprem-convberturk-ner") model = AutoModelForTokenClassification.from_pretrained("ctoraman/deprem-convberturk-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46b433d62ce1f526282d0aeb20c0a10641373cc18f1a89e6dbef4932f4500f1d
- Size of remote file:
- 427 MB
- SHA256:
- b74b817b9bdf6b2a6181bfde78645d328b16b40f122aaed2371240e8882d73cc
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