Feature Extraction
sentence-transformers
ONNX
Safetensors
Transformers
xlm-roberta
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use intfloat/multilingual-e5-large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intfloat/multilingual-e5-large-instruct with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/multilingual-e5-large-instruct") 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] - Transformers
How to use intfloat/multilingual-e5-large-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="intfloat/multilingual-e5-large-instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("intfloat/multilingual-e5-large-instruct") model = AutoModel.from_pretrained("intfloat/multilingual-e5-large-instruct", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Ensuring compatibility with the sentence-transformers library
Verified signatureI encountered the following error when attempting to load multilingual-e5-large-instruct using the sentence-transformers library: `not found: multilingual-e5-large-instruct/sentence_xlnet_config.json.` Upon investigating, I noticed that the sentence-transformers library looks for additional model configuration files like `sentence_bert_config.json` during model loading, as shown in this code snippet: (https://github.com/UKPLab/sentence-transformers/blob/c68bf68299a4435c6a48ea15d789fef596bf1444/sentence_transformers/models/Transformer.py#L527-L540) Additionally, other embedding models, such as bge-m3, also include this configuration file: https://huggingface.co/BAAI/bge-m3/blob/main/sentence_bert_config.json To address this issue, I created the necessary `sentence_bert_config.json` file based on the xlm-roberta configuration.d0d13e3
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Adding ONNX file of this model (#17)
Verified signature- Adding ONNX file of this model (4a3dc3a50e8d1c6fbda861c0d3d34b5473488795) Co-authored-by: Yash <yashvardhan7@users.noreply.huggingface.co>c9e87c7
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Update README.md
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Add Sentence Transformers support (#2)
- Add Sentence Transformers support (2df654a1816d9d71137d5ef0979718fc8842ada2)c406bc6
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Add link to new paper (#1)
- Add link to new paper (040d0121a88973cae67c013d62b14ef9a65ee4ec) Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.huggingface.co>2696861
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update README.md
b9fbfc1 -
upload model weights
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initial commit
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