Instructions to use Wanjiru/ag_based_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wanjiru/ag_based_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Wanjiru/ag_based_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Wanjiru/ag_based_ner") model = AutoModelForTokenClassification.from_pretrained("Wanjiru/ag_based_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5d21c1b22ad3a7695c03d3df5033370bc1d8a6534bc4703a5d60c1a244734d4
- Size of remote file:
- 2.99 kB
- SHA256:
- b6788138b1f0c8a87555b5b76d98ba7e73a891b638f6966a809c11e51085c5bf
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