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:
- a1e4bb50e57d4ef0e2acfa18decb729e874a10d0c6634703f88cfce2490cdc39
- Size of remote file:
- 3.83 kB
- SHA256:
- 16fe884a743f28b51186e48aeea08f0f4d7d24bdfc140d6c49b2bbe01212c7d6
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