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:
- 56da16126e2812cc3cc0f750db2a131fb76b70ea511f204d2fa83fda2df2667f
- Size of remote file:
- 2.24 GB
- SHA256:
- 02ebcfb73199ea1d83619dcf49fcf5cc65541ac66c9efc2ca4af04ff3324c111
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