Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ThuyNT03/xlm-roberta-base-Mixed-aug_replace_w2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/xlm-roberta-base-Mixed-aug_replace_w2v with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuyNT03/xlm-roberta-base-Mixed-aug_replace_w2v")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/xlm-roberta-base-Mixed-aug_replace_w2v") model = AutoModelForSequenceClassification.from_pretrained("ThuyNT03/xlm-roberta-base-Mixed-aug_replace_w2v", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K