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M2-BERT-32K-Retrieval-Encoder-V1

Fill-Mask
Transformers
Safetensors
English
bert
custom_code
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jonsaadfalcon commited on
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@@ -32,7 +32,7 @@ This model generates embeddings for retrieval. The embeddings have a dimensional
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  ```
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
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- max_seq_length = 2048
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  testing_string = "Every morning, I make a cup of coffee to start my day."
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  model = AutoModelForMaskedLM.from_pretrained("jonsaadfalcon/M2-BERT-32K-Retrieval-Encoder", trust_remote_code=True)
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  ```
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
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+ max_seq_length = 32768
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  testing_string = "Every morning, I make a cup of coffee to start my day."
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  model = AutoModelForMaskedLM.from_pretrained("jonsaadfalcon/M2-BERT-32K-Retrieval-Encoder", trust_remote_code=True)
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