No model card yet.
Tasks
sentence-similarity
Frameworks
sentence-transformers
Hardware-aware snippets
Runtime-specific quick starts for embaas/sentence-transformers-multilingual-e5-large. 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 = "embaas/sentence-transformers-multilingual-e5-large"
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
embaas/sentence-transformers-multilingual-e5-large
Finetuned
1sentence-transformers-multilingual-e5-largeselected
Quantizations
0No quantization variants detected.
Model info
Namespace
embaas
Visibility
public
Downloads
0
Likes
0
Evaluation results
Entries
0
Tasks
0
Datasets
0
No evaluation results published yet.
Metadata links
Base model
Not specifiedTrained on datasets
No linked datasets
Linked papers
No linked papers
Inference providers
0/0 fitNot available for inference yet.
Spaces using this model
No spaces linked yet.
Part of collections
No public collections include this model.
Tags
importedhuggingfaceminiosentence-transformerspytorchxlm-robertafeature-extractionsentence-similaritytext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us