Instructions to use dsfsi/PuoBERTa-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dsfsi/PuoBERTa-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa-NER") model = AutoModelForTokenClassification.from_pretrained("dsfsi/PuoBERTa-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11d9dcc71b03e79bfb9ea74c92831b4e6b844fb7a6194f5b5d833630e70e38f3
- Size of remote file:
- 332 MB
- SHA256:
- fc1a5d6f12bd68228dad0a9711fda14935372874b32d33aeece75d9815b72223
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