Feature Extraction
Transformers
PyTorch
Safetensors
Russian
bert
PyTorch
Transformers
text-embeddings-inference
Instructions to use ai-forever/sbert_large_nlu_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/sbert_large_nlu_ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ai-forever/sbert_large_nlu_ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ai-forever/sbert_large_nlu_ru") model = AutoModel.from_pretrained("ai-forever/sbert_large_nlu_ru", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ai-forever/sbert_large_nlu_ru: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/ai-forever/sbert_large_nlu_ru/resolve/refs%2Fpr%2F3/pytorch_model.bin
- Command line
-
hf download hf://ai-forever/sbert_large_nlu_ru@refs/pr/3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai-forever/sbert_large_nlu_ru/resolve/refs%2Fpr%2F3/pytorch_model.bin
1.71 GB
- Xet hash:
- 124cf6642b399fd30913e8ab14844ffac7703e6012a5532c76838eeab1ee8d9b
- Size of remote file:
- 1.71 GB
- SHA256:
- 0b33850c6827fbecc1d8068a5c769381a9bc78634ce25592cff81bc1acd5dccc
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