Instructions to use bitextor/bicleaner-ai-full-en-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bitextor/bicleaner-ai-full-en-sl with Transformers:
# Load model directly from transformers import AutoTokenizer, XLMRBicleanerAI tokenizer = AutoTokenizer.from_pretrained("bitextor/bicleaner-ai-full-en-sl") model = XLMRBicleanerAI.from_pretrained("bitextor/bicleaner-ai-full-en-sl") - Notebooks
- Google Colab
- Kaggle
Quick Links
Bicleaner AI full model for en-sl
Bicleaner AI is a tool that aims at detecting noisy sentence pairs in a parallel corpus. It indicates the likelihood of a pair of sentences being mutual translations (with a value near to 1) or not (with a value near to 0). Sentence pairs considered very noisy are scored with 0.
Find out at our repository for further instructions on how to use it: https://github.com/bitextor/bicleaner-ai
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# Load model directly from transformers import AutoTokenizer, XLMRBicleanerAI tokenizer = AutoTokenizer.from_pretrained("bitextor/bicleaner-ai-full-en-sl") model = XLMRBicleanerAI.from_pretrained("bitextor/bicleaner-ai-full-en-sl")