Delete sentencet5-xxl

sentencet5-xxl/.gitattributes

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sentencet5-xxl/1_Pooling/config.json

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-{
-  "word_embedding_dimension": 768,
-  "pooling_mode_cls_token": false,
-  "pooling_mode_mean_tokens": true,
-  "pooling_mode_max_tokens": false,
-  "pooling_mode_mean_sqrt_len_tokens": false
-}

sentencet5-xxl/2_Dense/config.json

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-{"in_features": 1024, "out_features": 768, "bias": false, "activation_function": "torch.nn.modules.linear.Identity"}

sentencet5-xxl/2_Dense/model.safetensors

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sentencet5-xxl/2_Dense/pytorch_model.bin

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sentencet5-xxl/README.md

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----
-language: en
-license: apache-2.0
-library_name: sentence-transformers
-tags:
-- sentence-transformers
-- feature-extraction
-- sentence-similarity
-pipeline_tag: sentence-similarity
----
-
-# sentence-transformers/sentence-t5-xxl
-
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space. The model works well for sentence similarity tasks, but doesn't perform that well for semantic search tasks.
-
-This model was converted from the Tensorflow model [st5-11b-1](https://tfhub.dev/google/sentence-t5/st5-11b/1) to PyTorch. When using this model, have a look at the publication: [Sentence-T5: Scalable sentence encoders from pre-trained text-to-text models](https://arxiv.org/abs/2108.08877). The tfhub model and this PyTorch model can produce slightly different embeddings, however, when run on the same benchmarks, they produce identical results.
-
-The model uses only the encoder from a T5-11B model. The weights are stored in FP16.  
-
-
-## 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('sentence-transformers/sentence-t5-xxl')
-embeddings = model.encode(sentences)
-print(embeddings)
-```
-
-The model requires sentence-transformers version 2.2.0 or newer.
-
-## Citing & Authors
-
-If you find this model helpful, please cite the respective publication:
-[Sentence-T5: Scalable sentence encoders from pre-trained text-to-text models](https://arxiv.org/abs/2108.08877)

sentencet5-xxl/config.json

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-{
-  "_name_or_path": "models/sentence-t5-11b",
-  "architectures": [
-    "T5EncoderModel"
-  ],
-  "d_ff": 65536,
-  "d_kv": 128,
-  "d_model": 1024,
-  "decoder_start_token_id": 0,
-  "dropout_rate": 0.1,
-  "eos_token_id": 1,
-  "feed_forward_proj": "relu",
-  "initializer_factor": 1.0,
-  "is_encoder_decoder": true,
-  "layer_norm_epsilon": 1e-06,
-  "model_type": "t5",
-  "n_positions": 512,
-  "num_decoder_layers": 24,
-  "num_heads": 128,
-  "num_layers": 24,
-  "output_past": true,
-  "pad_token_id": 0,
-  "relative_attention_num_buckets": 32,
-  "task_specific_params": {
-    "summarization": {
-      "early_stopping": true,
-      "length_penalty": 2.0,
-      "max_length": 200,
-      "min_length": 30,
-      "no_repeat_ngram_size": 3,
-      "num_beams": 4,
-      "prefix": "summarize: "
-    },
-    "translation_en_to_de": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to German: "
-    },
-    "translation_en_to_fr": {
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-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to French: "
-    },
-    "translation_en_to_ro": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to Romanian: "
-    }
-  },
-  "torch_dtype": "float16",
-  "transformers_version": "4.11.3",
-  "use_cache": true,
-  "vocab_size": 32128
-}

sentencet5-xxl/config_sentence_transformers.json

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-{
-  "__version__": {
-    "sentence_transformers": "2.2.0",
-    "transformers": "4.7.0",
-    "pytorch": "1.9.0+cu102"
-  }
-}

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sentencet5-xxl/modules.json

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sentencet5-xxl/pytorch_model.bin

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sentencet5-xxl/sentence_bert_config.json

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-{
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-  "do_lower_case": false
-}

sentencet5-xxl/special_tokens_map.json

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sentencet5-xxl/spiece.model

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sentencet5-xxl/tokenizer_config.json

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