Instructions to use hivaze/ru-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hivaze/ru-e5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hivaze/ru-e5-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hivaze/ru-e5-base") model = AutoModel.from_pretrained("hivaze/ru-e5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Why do we need this?
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This allows you to use significantly less memory during training and also greatly reduces the weight of the model.
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## Why do we need this?
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This allows you to use significantly less memory during training and also greatly reduces the weight of the model.
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## Authors
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- Sergei Bratchikov (https://t.me/nlpwanderer)
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