Instructions to use renjithks/expense-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renjithks/expense-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="renjithks/expense-ner")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("renjithks/expense-ner") model = AutoModelForTokenClassification.from_pretrained("renjithks/expense-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18db3c1c68f505acf84fe778b577cbc0c40b5a407c2445d9751edb83b0968b15
- Size of remote file:
- 802 MB
- SHA256:
- a4c6342720319353eddaa75861af8cf707b2ea0215ac6b296e4ead9a7aed5cc1
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