Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Portuguese
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Luciano/xlm-roberta-large-finetuned-lener-br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luciano/xlm-roberta-large-finetuned-lener-br with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Luciano/xlm-roberta-large-finetuned-lener-br")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Luciano/xlm-roberta-large-finetuned-lener-br") model = AutoModelForTokenClassification.from_pretrained("Luciano/xlm-roberta-large-finetuned-lener-br", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92301f443300cc3896bb380eae066c887c0b86a0cf8786d8bde6175934685591
- Size of remote file:
- 3.5 kB
- SHA256:
- 8c2ddc17770d4aa44578876d8c8c66d2c93182e176e27845765455480ed2c809
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.