Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
xlm-roberta
Generated from Trainer
nlu
slot-tagging
Eval Results (legacy)
Instructions to use cartesinus/xlm-r-base-amazon-massive-slot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cartesinus/xlm-r-base-amazon-massive-slot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cartesinus/xlm-r-base-amazon-massive-slot")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cartesinus/xlm-r-base-amazon-massive-slot") model = AutoModelForTokenClassification.from_pretrained("cartesinus/xlm-r-base-amazon-massive-slot") - Notebooks
- Google Colab
- Kaggle
Ctrl+K