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:
- 973d43fd2e855042df2057d6d6bf127071db3c8fb9f3efd6817252ec0569b594
- Size of remote file:
- 1.11 GB
- SHA256:
- a340f70402cf75afbeda028e9c2290d57de1124dddab7a2b5a41e3cdd67d9622
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