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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PleIAs/BibTexer") model = AutoModelForTokenClassification.from_pretrained("PleIAs/BibTexer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c8daf39edf0fa540f248be8b1d4fe33ba2656e87537dcf9dfcb1b9addd53674
- Size of remote file:
- 5.18 kB
- SHA256:
- 2b8d0b95b7697e31adc72fb2888e3d9747e2b6c871b3014eceae413f83d16c48
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