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:
- d97a377758223282da25dd4bd38affa56a6a47f1666090957731f51b046427b1
- Size of remote file:
- 2.24 GB
- SHA256:
- b62156d8508f57715bcd765d2f0342fc38e9b6061c157911e3f939516dd182b6
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