xlm
Transformers library for state-of-the-art machine learning models
December 29th, 2024
About xlm
Hugging Face Transformers is a library for state-of-the-art machine learning models. It provides pre-trained models and tools for tasks such as text classification, text generation, and translation. The XLM-RoBERTa model, based on Facebook's RoBERTa model, is a large multilingual language model that is trained on a wide range of languages. It has achieved excellent results in various natural language processing tasks.
Key Features
- Pre-trained models for various natural language processing tasks.
- Support for multilingual models.
- Fine-tuning of pre-trained models.
- Integration with PyTorch
- TensorFlow
- and JAX.
Use Cases
- Text classification.
- Text generation.
- Translation.
- Sentiment analysis.
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