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:
- b77d2e7518bca53598b8afd8853725d29ac6287f805638e0eb431d0ff3db9fb2
- Size of remote file:
- 437 MB
- SHA256:
- b85e6c162bfc9cd579e96449480ce40558e7b9819ace63f2d2f89242ddd8d3a2
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