Instructions to use Applemoon/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Applemoon/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Applemoon/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Applemoon/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Applemoon/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8c09b35dcbebf055966509db66933625953e42271b81239d339c009e1ecbfa2
- Size of remote file:
- 3.31 kB
- SHA256:
- f91c5b55c84f40582ef5178f901a510b36ad4b45f94fcf851e6a49cb464b7a75
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