Instructions to use melalex/lenta-ru-v2-xml-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melalex/lenta-ru-v2-xml-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="melalex/lenta-ru-v2-xml-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("melalex/lenta-ru-v2-xml-roberta-base") model = AutoModel.from_pretrained("melalex/lenta-ru-v2-xml-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for lenta-ru-v2-xml-roberta-base
This is fine tuned version of FacebookAI/xlm-roberta-large trained for 3 epochs on 150k records from lenta.ru extended dataset (MLM task).
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