nateraw/bge-large-en-v1.5 🖼️📝🔢✓ → ❓
About
BAAI's bge-en-large-v1.5 for embedding text sequences

Example Output
Output
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Performance Metrics
0.34s
Prediction Time
-1.96s
Total Time
All Input Parameters
{ "path": null, "texts": "[\"In the water, fish are swimming.\", \"Fish swim in the water.\", \"A book lies open on the table.\"]", "batch_size": 32, "convert_to_numpy": false, "normalize_embeddings": true }
Input Parameters
- path
- Path to file containing text as JSONL with 'text' field or valid JSON string list.
- texts
- text to embed, formatted as JSON list of strings (e.g. ["hello", "world"])
- batch_size
- Batch size to use when processing text data.
- convert_to_numpy
- When true, return output as npy file. By default, we return JSON
- normalize_embeddings
- Whether to normalize embeddings.
Output Schema
Output
Example Execution Logs
Map: 0%| | 0/3 [00:00<?, ? examples/s] Batches: 0%| | 0/1 [00:00<?, ?it/s][A Batches: 100%|██████████| 1/1 [00:00<00:00, 169.73it/s] Map: 100%|██████████| 3/3 [00:00<00:00, 353.94 examples/s]
Version Details
- Version ID
9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1
- Version Created
- October 5, 2023