Instructions to use leffff/ruBert-base-response-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leffff/ruBert-base-response-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leffff/ruBert-base-response-quality")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("leffff/ruBert-base-response-quality") model = AutoModelForNextSentencePrediction.from_pretrained("leffff/ruBert-base-response-quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete pytorch_model.pt
Browse files- pytorch_model.pt +0 -3
pytorch_model.pt
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