Feature Extraction
Transformers
Safetensors
Russian
bert
fill-mask
custom_code
text-embeddings-inference
Instructions to use Tochka-AI/ruRoPEBert-e5-base-2k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tochka-AI/ruRoPEBert-e5-base-2k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tochka-AI/ruRoPEBert-e5-base-2k", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Tochka-AI/ruRoPEBert-e5-base-2k", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Tochka-AI/ruRoPEBert-e5-base-2k", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a2c4f6a6186cdccfe6487fc8a4d00e0b3f88e14601e0d50671de9dfa1da06e0
- Size of remote file:
- 4.92 MB
- SHA256:
- f22be7ac5c2dde7c3dd95f475f2a2ad180f63b3ed59de287679fae7e36042f8e
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