Instructions to use Marijke/electra_hypopt_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marijke/electra_hypopt_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Marijke/electra_hypopt_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Marijke/electra_hypopt_NER") model = AutoModelForTokenClassification.from_pretrained("Marijke/electra_hypopt_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 732058873254c11f94dc85763b450d5eb6da29ec2beb5d7a30bafb1f9a5bfb4f
- Size of remote file:
- 54.7 MB
- SHA256:
- 1c7daf045a750849acba62b9c289a73eaf6a2db28c8d869df2ac8c7133a6de0e
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