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+  "word_embedding_dimension": 1024,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false
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diff --git a/bert-for-patents-64d/README.md b/bert-for-patents-64d/README.md
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+---
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+---
+
+# {MODEL_NAME}
+
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 64 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+<!--- Describe your model here -->
+
+## Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('{MODEL_NAME}')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+
+
+## Evaluation Results
+
+<!--- Describe how your model was evaluated -->
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
+
+
+
+## Full Model Architecture
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
+  (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
+  (dense): Dense({'in_features': 1024, 'out_features': 64, 'bias': False, 'activation_function': 'torch.nn.modules.linear.Identity'})
+)
+```
+
+## Citing & Authors
+
+<!--- Describe where people can find more information -->
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+{
+  "_name_or_path": "/root/.cache/torch/sentence_transformers/anferico_bert-for-patents",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
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+  "initializer_range": 0.02,
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+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 39859
+}
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+{
+  "__version__": {
+    "sentence_transformers": "2.2.0",
+    "transformers": "4.17.0",
+    "pytorch": "1.10.0+cu111"
+  }
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+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
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+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "dense",
+    "path": "2_Dense",
+    "type": "sentence_transformers.models.Dense"
+  }
+]
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+  "max_seq_length": 512,
+  "do_lower_case": false
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+      "feedstuff": 39710,
+      "nonspecifically": 39711,
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+      "nonengagement": 39714,
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+      "incrementation": 39723,
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+      "tenter": 39770,
+      "tetracyclic": 39771,
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+      "noncoincidence": 39773,
+      "phenylpropanolamine": 39774,
+      "associatively": 39775,
+      "picoline": 39776,
+      "pendulous": 39777,
+      "floater": 39778,
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+      "telomere": 39780,
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+      "inbuilt": 39784,
+      "pixilated": 39785,
+      "worksheet": 39786,
+      "pharmacodynamic": 39787,
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+      "pronged": 39789,
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+      "phosphoglycerate": 39791,
+      "suggestive": 39792,
+      "ellagic": 39793,
+      "photoflash": 39794,
+      "nonfluid": 39795,
+      "prostrate": 39796,
+      "subpanel": 39797,
+      "thrower": 39798,
+      "piperonyl": 39799,
+      "pinene": 39800,
+      "sifter": 39801,
+      "talus": 39802,
+      "assignor": 39803,
+      "stroboscopic": 39804,
+      "leiomyosarcoma": 39805,
+      "observational": 39806,
+      "magnesite": 39807,
+      "sulfadiazine": 39808,
+      "innocuous": 39809,
+      "holistic": 39810,
+      "demineralization": 39811,
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+      "catamaran": 39813,
+      "hemiacetal": 39814,
+      "metabolize": 39815,
+      "mezzanine": 39816,
+      "gad": 39817,
+      "bur": 39818,
+      "cuttable": 39819,
+      "pointwise": 39820,
+      "buccally": 39821,
+      "looseleaf": 39822,
+      "insolation": 39823,
+      "nibble": 39824,
+      "monotone": 39825,
+      "eyeliner": 39826,
+      "enquiry": 39827,
+      "apomorphine": 39828,
+      "unremoved": 39829,
+      "shaftlike": 39830,
+      "burring": 39831,
+      "piecing": 39832,
+      "revolvably": 39833,
+      "precooked": 39834,
+      "phenolphthalein": 39835,
+      "interline": 39836,
+      "pickled": 39837,
+      "jut": 39838,
+      "ambidextrous": 39839,
+      "corrupting": 39840,
+      "intertwining": 39841,
+      "depilatory": 39842,
+      "centralize": 39843,
+      "slackening": 39844,
+      "polarimeter": 39845,
+      "assessor": 39846,
+      "lactase": 39847,
+      "unshared": 39848,
+      "excise": 39849,
+      "multilamellar": 39850,
+      "trisaccharide": 39851,
+      "aminocaproic": 39852,
+      "cefotaxime": 39853,
+      "crustacean": 39854,
+      "decahydrate": 39855,
+      "tartar": 39856,
+      "blight": 39857,
+      "lorazepam": 39858
+    }
+  }
+}
\ No newline at end of file
diff --git a/bert-for-patents-64d/tokenizer_config.json b/bert-for-patents-64d/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c6fed7870467a879d489de020001a8838375027
--- /dev/null
+++ b/bert-for-patents-64d/tokenizer_config.json
@@ -0,0 +1 @@
+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "/root/.cache/torch/sentence_transformers/anferico_bert-for-patents", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
\ No newline at end of file
diff --git a/bert-for-patents-64d/vocab.txt b/bert-for-patents-64d/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..46768d34d24df71555d056ee3694820dd6a243d8
--- /dev/null
+++ b/bert-for-patents-64d/vocab.txt
@@ -0,0 +1,39859 @@
+[PAD]
+[UNK]
+[CLS]
+[SEP]
+[MASK]
+[abstract]
+[claim]
+[summary]
+[invention]
+[cpc]
+[unused0]
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