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
- Xet hash:
- 8dc52588a79e152a6afac28c17b3eb88b1edd943c6b5ee2d9fc6e362c0906704
- Size of remote file:
- 4.02 kB
- SHA256:
- 180fefa9e717c97a839f58553c52c456ee80140c3f4589356f021f09d2b11f4d
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