Instructions to use ViktorDo/electra-finetuned-ner-copious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViktorDo/electra-finetuned-ner-copious with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ViktorDo/electra-finetuned-ner-copious")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ViktorDo/electra-finetuned-ner-copious") model = AutoModelForTokenClassification.from_pretrained("ViktorDo/electra-finetuned-ner-copious") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fabfe7d530b095d9a3d52cd70ea251d2b9d040f1c825856f2b4e6756bb2eebc2
- Size of remote file:
- 436 MB
- SHA256:
- 052e06817f6b8b753fa8e08e9c0db487c71cd366c8ef41f0456f5829f06f18fb
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