Instructions to use dragonSwing/xlm-roberta-capu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dragonSwing/xlm-roberta-capu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dragonSwing/xlm-roberta-capu")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dragonSwing/xlm-roberta-capu") model = AutoModel.from_pretrained("dragonSwing/xlm-roberta-capu") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
6fe5f76 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a6e2a5c2b1cbf16a9fd0b88c0dc8585f3832a60d10eea8140854f8d8f32c188d
size 1112304873
|