Instructions to use guydebruyn/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guydebruyn/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="guydebruyn/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("guydebruyn/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("guydebruyn/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49e76a109481d8690eb070c2581a7339da040f149d8ea773c55afbeab6fce938
- Size of remote file:
- 4.09 kB
- SHA256:
- 17cdee45d883c981edf5c6c5a56883196539aafbbc3cdd821844e1f6da36df36
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