Text Classification
Transformers
PyTorch
Russian
English
xlm-roberta
xlm-roberta-large
text-embeddings-inference
Instructions to use IlyaGusev/xlm_roberta_large_headline_cause_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IlyaGusev/xlm_roberta_large_headline_cause_simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IlyaGusev/xlm_roberta_large_headline_cause_simple")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IlyaGusev/xlm_roberta_large_headline_cause_simple") model = AutoModelForSequenceClassification.from_pretrained("IlyaGusev/xlm_roberta_large_headline_cause_simple") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot