Instructions to use auhide/bert-bg-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auhide/bert-bg-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="auhide/bert-bg-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("auhide/bert-bg-ner") model = AutoModelForTokenClassification.from_pretrained("auhide/bert-bg-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16e58cb45553452824e7d7fa25e090fbc3d978ca2d9ca04019f9a652fbcce98e
- Size of remote file:
- 3.34 MB
- SHA256:
- 335602b8eb9d6c18b5ebc116bdb92f3e1d1673a47253c97fc37dfae43dd01042
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