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nli_mpnet_base_v2

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  1. README.md +20 -0
  2. assets/tokenizer/vocabulary.txt +0 -0
  3. config.json +25 -0
  4. metadata.json +9 -0
  5. model.weights.h5 +3 -0
  6. preprocessor.json +47 -0
  7. task.json +82 -0
  8. tokenizer.json +27 -0
README.md ADDED
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+ ---
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+ library_name: keras-hub
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+ ---
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+ This is a [`MPNet` model](https://keras.io/api/keras_hub/models/mp_net) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
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+ This model is related to a `TextEmbedder` task.
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+
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+ Model config:
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+ * **name:** mp_net_backbone
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+ * **trainable:** True
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+ * **dtype:** {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}
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+ * **vocabulary_size:** 30527
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+ * **num_layers:** 12
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+ * **num_heads:** 12
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+ * **hidden_dim:** 768
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+ * **intermediate_dim:** 3072
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+ * **dropout:** 0.1
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+ * **max_sequence_length:** 512
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+ * **layer_norm_epsilon:** 1e-05
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+
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+ This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
assets/tokenizer/vocabulary.txt ADDED
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config.json ADDED
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+ {
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+ "module": "keras_hub.src.models.mpnet.mpnet_backbone",
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+ "class_name": "MPNetBackbone",
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+ "config": {
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+ "name": "mp_net_backbone",
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+ "trainable": true,
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+ "dtype": {
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+ "module": "keras",
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+ "class_name": "DTypePolicy",
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+ "config": {
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+ "name": "float32"
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+ },
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+ "registered_name": null
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+ },
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+ "vocabulary_size": 30527,
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+ "num_layers": 12,
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+ "num_heads": 12,
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+ "hidden_dim": 768,
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+ "intermediate_dim": 3072,
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+ "dropout": 0.1,
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+ "max_sequence_length": 512,
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+ "layer_norm_epsilon": 1e-05
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+ },
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+ "registered_name": "keras_hub>MPNetBackbone"
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+ }
metadata.json ADDED
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+ {
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+ "keras_version": "3.15.1",
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+ "keras_hub_version": "0.33.0.dev0",
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+ "parameter_count": 108894336,
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+ "date_saved": "2026-10-31@00:49:10",
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+ "tasks": [
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+ "TextEmbedder"
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+ ]
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+ }
model.weights.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 436005800
preprocessor.json ADDED
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+ {
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+ "module": "keras_hub.src.models.mpnet.mpnet_text_embedder_preprocessor",
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+ "class_name": "MPNetTextEmbedderPreprocessor",
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+ "config": {
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+ "name": "mp_net_text_embedder_preprocessor",
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+ "trainable": true,
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+ "dtype": {
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+ "config": {
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+ "tokenizer": {
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+ "module": "keras_hub.src.models.mpnet.mpnet_tokenizer",
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+ "class_name": "MPNetTokenizer",
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+ "config": {
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+ "name": "mp_net_tokenizer",
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+ "trainable": true,
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+ "dtype": {
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+ "module": "keras",
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+ "class_name": "DTypePolicy",
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+ "config": {
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+ "lowercase": true,
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+ "strip_accents": true,
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+ "split": true,
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+ "suffix_indicator": "##",
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+ "oov_token": "[UNK]",
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+ "registered_name": "keras_hub>MPNetTokenizer"
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+ "config_file": "preprocessor.json",
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+ "sequence_length": 75,
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+ "truncate": "round_robin"
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+ "registered_name": "keras_hub>MPNetTextEmbedderPreprocessor"
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+ }
task.json ADDED
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+ {
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+ "module": "keras_hub.src.models.mpnet.mpnet_text_embedder",
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+ "class_name": "MPNetTextEmbedder",
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+ "config": {
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+ "backbone": {
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+ "module": "keras_hub.src.models.mpnet.mpnet_backbone",
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+ "class_name": "MPNetBackbone",
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+ "config": {
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+ "name": "mp_net_backbone",
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+ "trainable": true,
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+ "dtype": {
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+ "module": "keras",
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+ "class_name": "DTypePolicy",
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+ "config": {
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+ "name": "float32"
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+ },
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+ "registered_name": null
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+ },
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+ "vocabulary_size": 30527,
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+ "num_layers": 12,
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+ "num_heads": 12,
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+ "hidden_dim": 768,
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+ "intermediate_dim": 3072,
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+ "dropout": 0.1,
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+ "max_sequence_length": 512,
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+ "layer_norm_epsilon": 1e-05
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+ },
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+ "registered_name": "keras_hub>MPNetBackbone"
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+ },
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+ "preprocessor": {
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+ "module": "keras_hub.src.models.mpnet.mpnet_text_embedder_preprocessor",
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+ "class_name": "MPNetTextEmbedderPreprocessor",
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+ "config": {
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+ "name": "mp_net_text_embedder_preprocessor",
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+ "trainable": true,
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+ "config": {
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+ "tokenizer": {
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+ "module": "keras_hub.src.models.mpnet.mpnet_tokenizer",
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+ "class_name": "MPNetTokenizer",
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+ "config": {
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+ "name": "mp_net_tokenizer",
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+ "trainable": true,
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+ "class_name": "DTypePolicy",
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+ "name": "int32"
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+ "registered_name": "keras_hub>MPNetTokenizer"
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+ "config_file": "preprocessor.json",
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+ "sequence_length": 75,
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+ "truncate": "round_robin"
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+ },
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+ "registered_name": "keras_hub>MPNetTextEmbedderPreprocessor"
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+ },
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+ "name": "mp_net_text_embedder",
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+ "pooling_mode": "mean",
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+ "normalize": false
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+ },
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+ "registered_name": "keras_hub>MPNetTextEmbedder"
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+ }
tokenizer.json ADDED
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+ {
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+ "registered_name": "keras_hub>MPNetTokenizer"
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+ }