Instructions to use ITOCJ/ScienceExamCER-Ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ITOCJ/ScienceExamCER-Ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ITOCJ/ScienceExamCER-Ner")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ITOCJ/ScienceExamCER-Ner", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44b7f9b156b7b3e8328af39b8f2bbffcf42f0eef069d5ba5835cd7a1948a8df4
- Size of remote file:
- 437 MB
- SHA256:
- f19b9879e726db3049e54257133312a834440a1794f6bd128f6d82c26afeae18
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