saattrupdan/multilingual-e5-large-instruct 📝🔢✓ → 🔢
About
multilingual-e5-large-instruct: A multi-language text embedding model with custom query instructions.

Example Output
Output
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Performance Metrics
0.04s
Prediction Time
0.14s
Total Time
All Input Parameters
{ "texts": "[\"As a general guideline, the CDC's average requirement of protein for women ages 19 to 70 is 46 grams per day. But, as you can see from this chart, you'll need to increase that if you're expecting or training for a marathon. Check out the chart below to see how much protein you should be eating each day.\", \"Instruct: Given a web search query, retrieve relevant passages that answer the query\\nQuery: how much protein should a female eat\"]", "batch_size": 32, "normalize_embeddings": true }
Input Parameters
- texts
- text to embed, formatted as JSON list of strings (e.g., ["hello", "world"])
- batch_size
- Batch size to use when processing text data.
- normalize_embeddings
- Whether to normalize embeddings.
Output Schema
Output
Version Details
- Version ID
e65a7edc6df13d5b62b6da32fc1df749f716fa79b15ac86999213a0db236da40
- Version Created
- July 29, 2024