Added model files

Readme.md

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+---
+language: ar
+
+widget:
+ - text: "وإذا كان هناك من لا يزال يعتقد أن لبنان هو سويسرا الشرق ، فهو مخطئ إلى حد بعيد . فلبنان ليس سويسرا ، ولا يمكن أن يكون كذلك . لقد عاش اللبنانيون في هذا البلد منذ ما يزيد عن ألف وخمسمئة عام ، أي منذ تأسيس الإمارة الشهابية التي أسسها الأمير فخر الدين المعني الثاني ( 1697 - 1742 )"
+ ---
+
+# AraGPT2 Detector
+
+Machine generated detector model from the [AraGPT2: Pre-Trained Transformer for Arabic Language Generation paper](https://arxiv.org/abs/2012.15520)
+
+This model is trained on the long text passages, and achieves a 99.4% F1-Score.
+
+# How to use it:
+```python
+from transformers import pipeline
+from arabert.preprocess import ArabertPreprocessor
+
+processor = ArabertPreprocessor(model="aubmindlab/araelectra-base-discriminator")
+pipe = pipeline("sentiment-analysis", model = "aubmindlab/aragpt2-mega-detector-long")
+
+text = " "
+text_prep = processor.preprocess(text)
+result = pipe(text_prep)
+# [{'label': 'machine-generated', 'score': 0.9977743625640869}]
+```
+
+
+# If you used this model please cite us as :
+```
+@misc{antoun2020aragpt2,
+      title={AraGPT2: Pre-Trained Transformer for Arabic Language Generation},
+      author={Wissam Antoun and Fady Baly and Hazem Hajj},
+      year={2020},
+      eprint={2012.15520},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+# Contacts
+**Wissam Antoun**: [Linkedin](https://www.linkedin.com/in/wissam-antoun-622142b4/) | [Twitter](https://twitter.com/wissam_antoun) | [Github](https://github.com/WissamAntoun) | <wfa07@mail.aub.edu> | <wissam.antoun@gmail.com>
+
+**Fady Baly**: [Linkedin](https://www.linkedin.com/in/fadybaly/) | [Twitter](https://twitter.com/fadybaly) | [Github](https://github.com/fadybaly) | <fgb06@mail.aub.edu> | <baly.fady@gmail.com>

config.json

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+{
+  "_name_or_path": "aubmindlab/aragpt2-mega-detector-long",
+  "architectures": [
+    "ElectraForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "embedding_size": 768,
+  "generator_hidden_size": 0.33333,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "machine-generated",
+    "1": "human-written"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "human-written": 1,
+    "machine-generated": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "electra",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "transformers_version": "4.3.3",
+  "type_vocab_size": 2,
+  "vocab_size": 64000
+}

pytorch_model.bin

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "do_basic_tokenize": true, "never_split": ["[بريد]", "[مستخدم]", "[رابط]"], "special_tokens_map_file": null, "name_or_path": "aubmindlab/araelectra-base-discriminator"}