Instructions to use ryo0634/xlm-roberta-base-with-extra-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryo0634/xlm-roberta-base-with-extra-training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ryo0634/xlm-roberta-base-with-extra-training")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ryo0634/xlm-roberta-base-with-extra-training") model = AutoModel.from_pretrained("ryo0634/xlm-roberta-base-with-extra-training") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot