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:
- 467099a74f176eae5da53503350633acae745596a7599da4985d212c7161a681
- Size of remote file:
- 431 MB
- SHA256:
- 8b807b603af6e6790159ea068c00f0686856ee47999041e494fe7d62a2b43956
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