Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use cfilt/HiNER-collapsed-xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-collapsed-xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-collapsed-xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-collapsed-xlm-roberta-large") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-collapsed-xlm-roberta-large") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 5ad9a8a
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README.md
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# HiNER-collapsed-xlm-roberta-base
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This model was trained from scratch on
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## Model description
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# HiNER-collapsed-xlm-roberta-base
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This model was trained from scratch on the cfilt/HiNER-collapsed dataset.
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## Model description
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