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abideen
/
router-embedding
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sentence-transformers
Safetensors
bert
feature-extraction
dataset_size:10K<n<100K
loss:BatchAllTripletLoss
text-embeddings-inference
Inference Endpoints
arxiv:
1908.10084
arxiv:
1703.07737
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router-embedding
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abideen
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"numpy.core.multiarray._reconstruct"
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"_codecs.encode"
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"collections.OrderedDict"
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"numpy.dtype"
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"torch.ByteStorage"
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"torch._utils._rebuild_tensor_v2"
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"transformers.trainer_utils.HubStrategy"
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"transformers.trainer_utils.IntervalStrategy"
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"transformers.training_args.OptimizerNames"
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"accelerate.utils.dataclasses.DistributedType"
,
"torch.device"
,
"transformers.trainer_pt_utils.AcceleratorConfig"
,
"transformers.trainer_utils.SchedulerType"
,
"sentence_transformers.training_args.SentenceTransformerTrainingArguments"
,
"sentence_transformers.training_args.MultiDatasetBatchSamplers"
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"accelerate.state.PartialState"
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"sentence_transformers.training_args.BatchSamplers"
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