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README.md
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@@ -26,7 +26,6 @@ tokenizer = AutoTokenizer.from_pretrained(
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nlp = pipeline(
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model="impira/layoutlm-document-qa",
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tokenizer=tokenizer,
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trust_remote_code=True,
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)
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nlp(
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# {'score': 0.59147286, 'answer': '$ 3,750', 'start': 19, 'end': 20}
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```
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**NOTE**: This model was recently landed in transformers via [PR #18407](https://github.com/huggingface/transformers/pull/18407), so you'll need to use a recent version of transformers, for example:
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```bash
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pip install git+https://github.com/huggingface/transformers.git@
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```
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The pipeline is currently in review ([PR #18414](https://github.com/huggingface/transformers/pull/18414)). In the meantime, you'll have to use the `trust_remote_code=True` flag to run it.
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## About us
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This model was created by the team at [Impira](https://www.impira.com/).
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nlp = pipeline(
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model="impira/layoutlm-document-qa",
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tokenizer=tokenizer,
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)
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nlp(
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# {'score': 0.59147286, 'answer': '$ 3,750', 'start': 19, 'end': 20}
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```
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**NOTE**: This model and pipeline was recently landed in transformers via [PR #18407](https://github.com/huggingface/transformers/pull/18407) and [PR #18414](https://github.com/huggingface/transformers/pull/18414), so you'll need to use a recent version of transformers, for example:
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```bash
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pip install git+https://github.com/huggingface/transformers.git@2ef774211733f0acf8d3415f9284c49ef219e991
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```
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## About us
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This model was created by the team at [Impira](https://www.impira.com/).
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