Instructions to use RGarrido03/modernbert-conll2003-ner-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RGarrido03/modernbert-conll2003-ner-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RGarrido03/modernbert-conll2003-ner-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RGarrido03/modernbert-conll2003-ner-base") model = AutoModelForTokenClassification.from_pretrained("RGarrido03/modernbert-conll2003-ner-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84cb0c14e281069b4140f74fd45983a9dc3ab31bcdce7da6b8f07c2593923881
- Size of remote file:
- 5.33 kB
- SHA256:
- 1359358de2e3b08f1d7154c30d3db4e15b6fb1b9a5445b1aca30e43e6bc54e84
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