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README.md

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----
-license: gpl-3.0
----
+This model can be used to detect metaphors in text. It is a finetuned variant of RoBert, a dutch implementation of RoBerta

config.json

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+{
+  "_name_or_path": "pdelobelle/robbert-v2-dutch-base",
+  "architectures": [
+    "RobertaForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.16.2",
+  "type_vocab_size": 4,
+  "use_cache": true,
+  "vocab_size": 40000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aaa1ddc48f2bb49670dea119cfcd6dd72b6a6a37bae9d3a9dc66c3499f67f00d
+size 483223781

setup.py

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+from setuptools import setup, find_packages
+
+setup(
+    name='MetRubert',
+    version='1.0',
+    packages=find_packages(),
+    install_requires=[
+        'torch>=1.6.0',
+        'transformers>=4.2.2'
+    ],
+    classifiers=[
+        'Programming Language :: Python :: 3',
+        'License :: OSI Approved :: GNU General Public License v3.0',
+        'Operating System :: OS Independent',
+    ],
+    python_requires='>=3.7',
+)