Instructions to use Den4ikAI/ruBert_base_intent_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruBert_base_intent_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/ruBert_base_intent_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruBert_base_intent_detection") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/ruBert_base_intent_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4536bcaeae1884da17d6d25de187b44e8e6a8595492112899cf984fa86273fc
- Size of remote file:
- 713 MB
- SHA256:
- 341ee101341f55737fab4a28660503e71a02a98c9e820e4a4b7a283889bf6715
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