Instructions to use dngo0702/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dngo0702/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dngo0702/bert-finetuned-ner", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dngo0702/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dngo0702/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51ef440e8e74514aed9135855fe3c505fa277c534d40b2862e1f53e815221d97
- Size of remote file:
- 5.14 kB
- SHA256:
- dabd27d6bce06052d4f98aff80d3639bb36e1351c7ef6a9d4a14cff4c5305273
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