Instructions to use DimasikKurd/sbert_large_nlu_ru_neg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/sbert_large_nlu_ru_neg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/sbert_large_nlu_ru_neg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/sbert_large_nlu_ru_neg") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/sbert_large_nlu_ru_neg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e504574ccc4d55a7d88dcc0e864b0e8d0b8cf0834da0f6be4aa4aa2681e30603
- Size of remote file:
- 4.98 kB
- SHA256:
- ccbcc0900c2d58566e1c105573d1dc3104758910092fcf4508b8c06c50fdb87e
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