Instructions to use abehandlerorg/econberta-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abehandlerorg/econberta-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abehandlerorg/econberta-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abehandlerorg/econberta-ner") model = AutoModelForTokenClassification.from_pretrained("abehandlerorg/econberta-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8daa354292877d6ff0f6dac655d5f89c3deafb9580998f1e640347b99f3ddea
- Size of remote file:
- 735 MB
- SHA256:
- 3b2de6c69adc6c2faa6d807ff450331d50e2ede491b839489957154593fae9a5
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