Instructions to use Den4ikAI/ruBert_tiny_qa_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruBert_tiny_qa_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/ruBert_tiny_qa_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruBert_tiny_qa_detection") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/ruBert_tiny_qa_detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:39032c2f03207eb114f77d010db35832dcc5bc9aab3ca61cb8e86a8db9fa659b
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size 116800616
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