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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 058d20562185cc4949809516f11b47d1c2119df8b42d34f2ba625b54da502f56
- Size of remote file:
- 2.24 GB
- SHA256:
- b485917b09341554c6ac9252f423797663f65b09d635ae9d80e5b89b38dfafc5
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