Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use universalner/uner_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_all") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_all") - Notebooks
- Google Colab
- Kaggle
Shuheng Liu commited on
Commit ·
ea7d547
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Parent(s): d22837a
Updated README.md
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README.md
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dataset:
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name: uner_all
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type: uner_all
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config:
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split: None
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metrics:
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- name: Precision
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dataset:
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name: uner_all
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type: uner_all
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config: default
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split: None
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metrics:
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- name: Precision
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