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:
- a9c7ac85a313dd61552efc3f64a44b29a803bb5882821199e669b421e32c42cf
- Size of remote file:
- 4.03 kB
- SHA256:
- a679cf7d0ec8c3b0466b610d0ac38ec5debddae07c3503cd31d79ac811547d9d
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