Instructions to use sbartlett97/modernbert-conll-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sbartlett97/modernbert-conll-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sbartlett97/modernbert-conll-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sbartlett97/modernbert-conll-ner") model = AutoModelForTokenClassification.from_pretrained("sbartlett97/modernbert-conll-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d69bd0107e0fb8d1636b2e97bfccd4de8af8f68dc55645c6ae168839b1cec9
- Size of remote file:
- 5.84 kB
- SHA256:
- 238854240d91e3421885768a072143257e1a52bd0a80c88398893b5260844412
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