Instructions to use Xenova/text-embedding-ada-002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/text-embedding-ada-002 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/text-embedding-ada-002", device_map="auto") - Transformers.js
How to use Xenova/text-embedding-ada-002 with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 8192,
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"tokenizer_class": "GPT4Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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