Instructions to use yqelz/xml-roberta-large-ner-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yqelz/xml-roberta-large-ner-russian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yqelz/xml-roberta-large-ner-russian")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yqelz/xml-roberta-large-ner-russian") model = AutoModelForTokenClassification.from_pretrained("yqelz/xml-roberta-large-ner-russian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af74d5277b95215bf6b7fa3840aa118fbb4a586d32cc93537b9fff008151ffa1
- Size of remote file:
- 2.24 GB
- SHA256:
- 28dacce37f34d23a6d19c24870b8b8feec7ac8c104b584fb02ec86b9fa8f9a3f
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