Instructions to use HiTZ/xlm-roberta-large-lemma-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/xlm-roberta-large-lemma-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/xlm-roberta-large-lemma-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/xlm-roberta-large-lemma-ru") model = AutoModelForTokenClassification.from_pretrained("HiTZ/xlm-roberta-large-lemma-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec8943a5459a728e636b463e239e339f55eed75ac733a95453f77a53f81e552a
- Size of remote file:
- 2.24 GB
- SHA256:
- 8d59f56e7c77992037605e53a1859bab08428483d090908e5612b50586fe513e
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