Feature Extraction
Transformers
Safetensors
Russian
bert
fill-mask
custom_code
text-embeddings-inference
Instructions to use Tochka-AI/ruRoPEBert-e5-base-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tochka-AI/ruRoPEBert-e5-base-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tochka-AI/ruRoPEBert-e5-base-512", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Tochka-AI/ruRoPEBert-e5-base-512", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Tochka-AI/ruRoPEBert-e5-base-512", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6eaa12229bb232ea6139f050d0635c20679c4dfd9be9f8bce0c48adf1a055010
- Size of remote file:
- 4.92 MB
- SHA256:
- 1e872228d72767029fc60c75e8ff623934b4d56be575e7e1eb9e563a220437c4
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