Instructions to use ficsort/bert-base-uncased-conll2003-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ficsort/bert-base-uncased-conll2003-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ficsort/bert-base-uncased-conll2003-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ficsort/bert-base-uncased-conll2003-ner") model = AutoModelForTokenClassification.from_pretrained("ficsort/bert-base-uncased-conll2003-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd6d2a97a8590f39255ed3916282565db7decf65e3f4e5de1a3082739d652349
- Size of remote file:
- 436 MB
- SHA256:
- e49fcc68687ae7d9ee4f7815a9deaf1a831d4c9d5b6596c06561d723a8a5204d
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