Instructions to use cgpeltier-janes/deberta-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cgpeltier-janes/deberta-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cgpeltier-janes/deberta-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cgpeltier-janes/deberta-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("cgpeltier-janes/deberta-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 696c1ff764c525ac6c2c1aa3f55fd8a6b4b4a8d25078844aeaa7a20e8f936795
- Size of remote file:
- 3.31 kB
- SHA256:
- aebf0abc860eede690ad4735a1308917ac866776269a7534c50f02d23d28b9d8
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