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License
mit
Tasks
sentence-similarity
Frameworks
sentence-transformers
Hardware-aware snippets
Runtime-specific quick starts for sergeyzh/BERTA. Detected hardware: No explicit hardware metadata.
Task: sentence-similarityTransformers
NVIDIA CUDA path
Best default for NVIDIA GPUs and hosted accelerator nodes.
pip install torch transformers accelerate
python - <<'PY'
from transformers import pipeline
model_id = "sergeyzh/BERTA"
pipe = pipeline(
task="sentence-similarity",
model=model_id,
device_map="auto",
model_kwargs={"torch_dtype": "auto"},
)
print(pipe("Hello from Inferix"))
PYModel lineage
1 reposBase model
sergeyzh/LaBSE-ru-turboFinetuned
1BERTAselected
Quantizations
0No quantization variants detected.
Model info
Namespace
sergeyzh
Visibility
public
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0
License: mit
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Inference providers
0/0 fitNot available for inference yet.
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Tags
importedhuggingfaceminiosentence-transformerssafetensorsbertfeature-extractionrussianpretrainingembeddingssentence-similaritytransformersruendataset:IlyaGusev/gazetadataset:zloelias/lenta-rudataset:HuggingFaceFW/fineweb-2dataset:HuggingFaceFW/finewebbase_model:sergeyzh/LaBSE-ru-turbobase_model:finetune:sergeyzh/LaBSE-ru-turbolicense:mittext-embeddings-inferenceendpoints_compatibleregion:us