Instructions to use GEOcite/AuthorParserModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GEOcite/AuthorParserModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GEOcite/AuthorParserModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GEOcite/AuthorParserModel") model = AutoModelForTokenClassification.from_pretrained("GEOcite/AuthorParserModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a0ad85e7761309adc1a17da0b0f4c80f46ff5c9e449db2c35272988695df0c
- Size of remote file:
- 667 MB
- SHA256:
- 44dee8201383b48450e56cccf1e127a73e49fdb3b5060498e70b420589529d43
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