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README.md
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@@ -27,7 +27,7 @@ With huggingface transformers you only need to be a bit careful with how you poo
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```python
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from transformers import AutoTokenizer, AutoModel
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pooler = lambda x: x[:, 0, :] # Choose CLS token
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sentences = ["This is an example sentence", "Each sentence is converted"]
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tokenizer = AutoTokenizer.from_pretrained('quicktensor/dexml_lf-amazontitles-1.3m')
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```python
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from transformers import AutoTokenizer, AutoModel
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pooler = lambda x: x[:, 0, :] # Choose CLS token
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sentences = ["This is an example sentence", "Each sentence is converted"]
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tokenizer = AutoTokenizer.from_pretrained('quicktensor/dexml_lf-amazontitles-1.3m')
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