cuuupid/e5-mistral-7b-instruct 🖼️🔢✓ → 🖼️

▶️ 144 runs 📅 Feb 2024 ⚙️ Cog 0.9.4 📄 Paper ⚖️ License
semantic-search text-embedding

About

Finetuned E5 embeddings for instruct based on Mistral.

Example Output

Output

Example output

Performance Metrics

16.40s Prediction Time
260.18s Total Time
All Input Parameters 
{
  "texts": "https://replicate.delivery/pbxt/KLrAjasFNPYHr7SKynYHT1bbC63uUs6TMGcCcvxgmFAh9fLJ/embedding-text.json",
  "batch_size": 1,
  "normalize_embeddings": true
}
Input Parameters
texts Type: string
Provide your input texts in a JSONL file, where each like is a JSON stringified string to embed.
batch_size Type: integerDefault: 32
The batch size to use for inference.
normalize_embeddings Type: booleanDefault: true
Whether to normalize the embeddings.
Output Schema

Output

Type: string • Format: uri

Example Execution Logs 
Max tokens: 9
Index: 0
Max tokens: 6
Index: 1
Max tokens: 5
Index: 2
Max tokens: 7
Index: 3
Max tokens: 11490
Index: 4
Version Details
Version ID
9452d5fc5d9b6ff5693ac89966fe19d755006a3a0367036f8f1244a5599ebdd1
Version Created
February 3, 2024
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