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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c605f124266d2c5959090b33ced1b660e68d87e08d019c03fbfdfba7482b6d70
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size 667112372
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