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:
- 05a55aadc6fd9d653c15ff4c674b337697355bd86dcd66efa44234703c352ced
- Size of remote file:
- 3.06 kB
- SHA256:
- 9ecd45e74acffbae49b9df1736ab31a49026043da88a8f0359ab6ba6a1c36b40
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