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:
- 2f19a41cb756187f04cb6027967227463dd6ca5999b9e34b811ff1982b38d442
- Size of remote file:
- 3.52 kB
- SHA256:
- c4a9d778287e6b6c968178379545cefaa90a64e3530246f9fd6251ec0d0732a7
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