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README.md

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+---
+base_model: unknown
+library_name: model2vec
+license: mit
+model_name: trained_gate
+tags:
+- embeddings
+- static-embeddings
+- sentence-transformers
+---
+
+# trained_gate Model Card
+
+This [Model2Vec](https://github.com/MinishLab/model2vec) model is a fine-tuned version of the [unknown](https://huggingface.co/unknown) Model2Vec model. It also includes a classifier head on top.
+
+## Installation
+
+Install model2vec using pip:
+```
+pip install model2vec[inference]
+```
+
+## Usage
+Load this model using the `from_pretrained` method:
+```python
+from model2vec.inference import StaticModelPipeline
+
+# Load a pretrained Model2Vec model
+model = StaticModelPipeline.from_pretrained("trained_gate")
+
+# Predict labels
+predicted = model.predict(["Example sentence"])
+```
+
+## Additional Resources
+
+- [Model2Vec Repo](https://github.com/MinishLab/model2vec)
+- [Model2Vec Base Models](https://huggingface.co/collections/minishlab/model2vec-base-models-66fd9dd9b7c3b3c0f25ca90e)
+- [Model2Vec Results](https://github.com/MinishLab/model2vec/tree/main/results)
+- [Model2Vec Docs](https://minish.ai/packages/model2vec/introduction)
+
+## Library Authors
+
+Model2Vec was developed by the [Minish Lab](https://github.com/MinishLab) team consisting of [Stephan Tulkens](https://github.com/stephantul) and [Thomas van Dongen](https://github.com/Pringled).
+
+## Citation
+
+Please cite the [Model2Vec repository](https://github.com/MinishLab/model2vec) if you use this model in your work.
+```
+@software{minishlab2024model2vec,
+  author       = {Stephan Tulkens and {van Dongen}, Thomas},
+  title        = {Model2Vec: Fast State-of-the-Art Static Embeddings},
+  year         = {2024},
+  publisher    = {Zenodo},
+  doi          = {10.5281/zenodo.17270888},
+  url          = {https://github.com/MinishLab/model2vec},
+  license      = {MIT}
+}
+```

config.json

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+{
+    "normalize": true,
+    "embedding_dtype": "float32"
+}

gate_meta.json

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+{
+  "base_model": "minishlab/potion-base-32M",
+  "license_threshold": 0.2,
+  "test_license_recall": 0.9952,
+  "test_false_positive_rate": 0.0227,
+  "note": "recall-first gate; label 1 == license_related"
+}

metrics.json

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+{
+  "base_model": "minishlab/potion-base-32M",
+  "license_threshold": 0.2,
+  "test_license_recall": 0.9952,
+  "test_false_positive_rate": 0.0227,
+  "note": "recall-first gate; label 1 == license_related"
+}

model.safetensors

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+size 129210456

modules.json

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+[
+    {
+        "idx": 0,
+        "name": "0",
+        "path": ".",
+        "type": "sentence_transformers.models.StaticEmbedding"
+    },
+    {
+        "idx": 1,
+        "name": "1",
+        "path": "1_Normalize",
+        "type": "sentence_transformers.models.Normalize"
+    }
+]

pipeline.skops

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