Feature Extraction
sentence-transformers
ONNX
Safetensors
multilingual
bidirectional_pplx_qwen3
sentence-similarity
mteb
custom_code
text-embeddings-inference
Instructions to use perplexity-ai/pplx-embed-v1-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use perplexity-ai/pplx-embed-v1-0.6b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("perplexity-ai/pplx-embed-v1-0.6b", trust_remote_code=True) 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] - Notebooks
- Google Colab
- Kaggle
Update config for transformers.js
#10
by Xenova HF Staff - opened
- config.json +7 -0
config.json
CHANGED
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@@ -61,6 +61,13 @@
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0.dev0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0.dev0",
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"transformers.js_config": {
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"use_external_data_format": {
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"model.onnx": 2,
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"model_quantized.onnx": 1,
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"model_q4.onnx": 1
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}
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},
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936,
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