Instructions to use ctoraman/deprem-mdeberta-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/deprem-mdeberta-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ctoraman/deprem-mdeberta-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ctoraman/deprem-mdeberta-ner") model = AutoModelForTokenClassification.from_pretrained("ctoraman/deprem-mdeberta-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48cdc0909b52cfba074fe6ab909501324c3b066c15692f8e00197e054e4fa975
- Size of remote file:
- 3.06 kB
- SHA256:
- 2f49a4084ffb0bb7dc0c77eb21e93a439afc034aad134d6028dd29124c51c7a4
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