Instructions to use blaze999/ner-wand-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blaze999/ner-wand-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="blaze999/ner-wand-test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("blaze999/ner-wand-test") model = AutoModelForTokenClassification.from_pretrained("blaze999/ner-wand-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e6591b6753e82e5cd392c0f48764cdf097af4c4c7748b71dfc7c8f655d1cf52
- Size of remote file:
- 4.73 kB
- SHA256:
- e2774c0ecf15f18559a59eac1e027a39c2f20044ce444603797e7892ed08e445
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