Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
xlm-roberta
mteb
Sentence Transformers
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use intfloat/multilingual-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intfloat/multilingual-e5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/multilingual-e5-base") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add exported onnx model 'model_qint8_avx512_vnni.onnx'
Verified signatureHello! *This pull request has been automatically generated from the [`export_dynamic_quantized_onnx_model`](https://sbert.net/docs/package_reference/util.html#sentence_transformers.backend.export_dynamic_quantized_onnx_model) function from the Sentence Transformers library.* ## Config ```python QuantizationConfig( is_static=False, format=<QuantFormat.QOperator: 0>, mode=<QuantizationMode.IntegerOps: 0>, activations_dtype=<QuantType.QUInt8: 1>, activations_symmetric=False, weights_dtype=<QuantType.QInt8: 0>, weights_symmetric=True, per_channel=True, reduce_range=False, nodes_to_quantize=[], nodes_to_exclude=[], operators_to_quantize=['Conv', 'MatMul', 'Attention', 'LSTM', 'Gather', 'Transpose', 'EmbedLayerNormalization'], qdq_add_pair_to_weight=False, qdq_dedicated_pair=False, qdq_op_type_per_channel_support_to_axis={'MatMul': 1} ) ``` ## Tip: Consider testing this pull request before merging by loading the model from this PR with the `revision` argument: ```pyth…bb5ff77
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Add link to new paper (#18)
Verified signature- Add link to new paper (cea84a7cfcd78e04bc1ef6c7182a06fc72a22fbb) Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.huggingface.co>87d6695
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Adding ONNX file of this model (#11)
- Adding ONNX file of this model (7d8760377f73aadb2f2a4e31fff2e48d2cbe68bf) Co-authored-by: Romain <romaindeveaud@users.noreply.huggingface.co>167cf6a
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add sentence similarity tag
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track tokenizer.json with lfs
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Adding `safetensors` variant of this model (#6)
- Adding `safetensors` variant of this model (5c31b33181f6c6bfbbce758a5900f9407bbcff42) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>a1c23e4
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sentence transformers (#5)
- sbert (73faffbff62768f15b166b0b6866e99b993f6be4)830e3a9
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upload model weights
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initial commit
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