lfs change to acge_text_embedding
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@@ -6,7 +6,7 @@ import torch
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device = "cuda" if torch.cuda.is_available() else "cpu"
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print("Using device:", device)
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model_name = "models/aspire--acge-large-text"
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model_name = "models/aspire--acge_text_embedding"
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print("Loading model", model_name)
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model = (
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AutoModel.from_pretrained(model_name, local_files_only=True, torch_dtype=torch.float16).eval().to(device)
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models/aspire--acge_text_embedding/config.json
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models/aspire--acge_text_embedding/config.json
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models/aspire--acge_text_embedding/model.safetensors
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models/aspire--acge_text_embedding/model.safetensors
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models/aspire--acge_text_embedding/special_tokens_map.json
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models/aspire--acge_text_embedding/special_tokens_map.json
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models/aspire--acge_text_embedding/tokenizer.json
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models/aspire--acge_text_embedding/tokenizer.json
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models/aspire--acge_text_embedding/tokenizer_config.json
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models/aspire--acge_text_embedding/tokenizer_config.json
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models/aspire--acge_text_embedding/vocab.txt
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models/aspire--acge_text_embedding/vocab.txt
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