Feature Extraction
Transformers
PyTorch
bert
Inference Endpoints
voidism commited on
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  1. config.json +24 -0
  2. pytorch_model.bin +3 -0
  3. vocab.txt +0 -0
config.json ADDED
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+ {
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+ "_name_or_path": "voidism/diffcse-bert-base-uncased-trans",
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+ "architectures": [
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+ "BertModel"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.2.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:de9bf4259c388c48fe61e2ba94cb7001b98d9becc1ef0581f3e68e804f28544b
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+ size 1245026652
vocab.txt ADDED
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