Instructions to use galkinv42/RuModernBERT-Intent-Classifier-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galkinv42/RuModernBERT-Intent-Classifier-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="galkinv42/RuModernBERT-Intent-Classifier-ONNX")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("galkinv42/RuModernBERT-Intent-Classifier-ONNX") model = AutoModelForSequenceClassification.from_pretrained("galkinv42/RuModernBERT-Intent-Classifier-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.onnx
Browse files- tokenizer.onnx +3 -0
tokenizer.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b4ea93f3cc3fdb8a4efb0c05b87b8d4374d926b3adc4c6ef53a97a7e650afdb
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size 4131476
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