Download encoder-profil.json from thomasavare/Qwen3-Embedding-0.6B-211: direct link, hf CLI and curl.
- Browser
- Download file 714 Bytes
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https://huggingface.co/thomasavare/Qwen3-Embedding-0.6B-211/resolve/main/encoder-profil.json
- Command line
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hf download hf://thomasavare/Qwen3-Embedding-0.6B-211/encoder-profil.json
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curl -L -o encoder-profil.json https://huggingface.co/thomasavare/Qwen3-Embedding-0.6B-211/resolve/main/encoder-profil.json
714 Bytes
| { | |
| "encoder_id": "enc:310a18d411db81b8:sentence-transformers", | |
| "name": "Qwen3-Embedding-0.6B", | |
| "revision": null, | |
| "prompt": "Instruct: You are a medical coding specialist. Your task is to generate a vector that distinguishes the following medical term from all other closely related conditions. The vector should represent the unique semantic signature of this term to enable unambiguous retrieval of its specific ICD-10 code\nQuery:", | |
| "embedding_dims": 1024, | |
| "max_length": 1024, | |
| "config_sha256": "310a18d411db81b8587a3b3dcea8aa8ddebd6295750f414eb6dd611f72eb4df1", | |
| "weights_sha256": null, | |
| "wrapper_code_sha256": "4d4c12b31810a710b438f5292d14ecff15e82fb0e21f066cf45c81c5c95ef366" | |
| } |