to support 2D input for tokenizer of genai reranker #2949
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eaidova
reviewed
May 19, 2025
| " optimum_cli(rerank_model_configuration[\"model_id\"], str(rerank_model_id.value), show_command=False, additional_args={\"task\": \"text-classificaton\"})" | ||
| " optimum_cli(rerank_model_configuration[\"model_id\"], str(rerank_model_id.value), show_command=False, additional_args={\"task\": \"text-classificaton\"})\n", | ||
| " hf_tokenizer = AutoTokenizer.from_pretrained(rerank_model_configuration[\"model_id\"], trust_remote_code=True)\n", | ||
| " ov_tokenizer, ov_detokenizer = convert_tokenizer(hf_tokenizer, with_detokenizer=True, number_of_inputs=2)\n", |
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@openvino-dev-samples , I've asked advice @pavel-esir and @apaniukov regarding how to better resolve second input addition in tokenizer. There is no need to complete tokenizer conversion: detokenizer remains the same, for converted tokenizer you can apply helper function from openvino tokenizers library https://github.com/openvinotoolkit/openvino_tokenizers/blob/master/python/openvino_tokenizers/tokenizer_transformations.py#L281
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My method is provided by @pavel-esir, could you suggest an official solution on this case ? thanks
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