Instructions to use forthisdream/xlm-roberta-base-Intent-Twin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use forthisdream/xlm-roberta-base-Intent-Twin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="forthisdream/xlm-roberta-base-Intent-Twin")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("forthisdream/xlm-roberta-base-Intent-Twin") model = AutoModelForSequenceClassification.from_pretrained("forthisdream/xlm-roberta-base-Intent-Twin") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - ru | |
| - en | |
| metrics: | |
| - f1 | |
| - accuracy | |
| base_model: | |
| - FacebookAI/xlm-roberta-base | |
| pipeline_tag: text-classification | |
| library_name: transformers | |