Instructions to use Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02") model = AutoModelForTokenClassification.from_pretrained("Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02") - Notebooks
- Google Colab
- Kaggle
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