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README.md
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## BLEURT
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Pytorch version of the original BLEURT models from ACL paper ["BLEURT: Learning Robust Metrics for Text Generation"](https://aclanthology.org/2020.acl-main.704/) by
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Thibault Sellam, Dipanjan Das and Ankur P. Parikh of Google Research.
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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import torch
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForSequenceClassification.from_pretrained("
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model.eval()
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references = ["hello world", "hello world"]
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\n## BLEURT
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Pytorch version of the original BLEURT models from ACL paper ["BLEURT: Learning Robust Metrics for Text Generation"](https://aclanthology.org/2020.acl-main.704/) by
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Thibault Sellam, Dipanjan Das and Ankur P. Parikh of Google Research.
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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import torch
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tokenizer = AutoTokenizer.from_pretrained("Elron/bleurt-base-512")
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model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-base-512")
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model.eval()
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references = ["hello world", "hello world"]
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