Instructions to use pitoneros/NER_LAW_MONEY4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitoneros/NER_LAW_MONEY4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pitoneros/NER_LAW_MONEY4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pitoneros/NER_LAW_MONEY4") model = AutoModelForTokenClassification.from_pretrained("pitoneros/NER_LAW_MONEY4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43d8f80c273b02c5f60e10f5d3b535fc304b71800398d7aad21fc378d52e5c0f
- Size of remote file:
- 496 MB
- SHA256:
- 88769fd045e00126ee85b211845a2f876376c17b17bbc8a94dc40d0bb984bf8a
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