Instructions to use PleIAs/BibTexer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PleIAs/BibTexer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PleIAs/BibTexer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PleIAs/BibTexer") model = AutoModelForTokenClassification.from_pretrained("PleIAs/BibTexer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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After parsing by Segmentext, Bibtexer returns the following list of references:
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```
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author = {Postigo JAR},
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title = {Leishmaniasis in the World Health Organization Eastern Mediterranean Region},
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journal = {Int J Antimicrob Agents},
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year = {2002},
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volume = {34},
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pages = {171-207}
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}
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The reference can be straight exported to Zotero:
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After parsing by Segmentext, Bibtexer returns the following list of references:
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```
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@article{postigo2010,
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author = {Postigo JAR},
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title = {Leishmaniasis in the World Health Organization Eastern Mediterranean Region},
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journal = {Int J Antimicrob Agents},
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year = {2002},
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volume = {34},
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pages = {171-207}
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}
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```
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The reference can be straight exported to Zotero:
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