Instructions to use Data-Lab/ruRoberta-large_classification_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/ruRoberta-large_classification_v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/ruRoberta-large_classification_v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/ruRoberta-large_classification_v0.1") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/ruRoberta-large_classification_v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edfb1cac08f8186a1677b247d0a948e7eddbded18504cc6dd271a3ff2a8585f4
- Size of remote file:
- 1.42 GB
- SHA256:
- 2329313a1e6a18b9b7d4ef1965f7af9a75805013132705c24ba5abeede3363a9
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