Instructions to use x4n4/ner_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use x4n4/ner_checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="x4n4/ner_checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("x4n4/ner_checkpoints") model = AutoModelForTokenClassification.from_pretrained("x4n4/ner_checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 350a9890c354daf5b1770981b414cf0131673db135840480dbc44ca0837c4ad7
- Size of remote file:
- 5.2 kB
- SHA256:
- bfe5e09522f41a94f90d4b034e28f0c927a25eaa35dddb1e30d51d888368c3e2
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