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Update MT Model

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+ ---
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+ language:
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+ - en
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+ - ar
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+ tags:
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+ - translation
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+ - Arabic Abjad Characters
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+ license: Apache 2.0
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+ datasets:
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+ - marefa-mt
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+ ---
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+
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+ # Marefa-Mt-En-Ar
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+
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+ ## Model description
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+
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+ This is a model for translating English to Arabic. The special about this model that is take into considration the
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+ using of additional Arabic characters like `پ` or `گ`.
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ from transformers import MarianTokenizer, MarianMTModel
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+ mname = "marefa-nlp/marefa-mt-en-ar"
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+ tokenizer = MarianTokenizer.from_pretrained(mname)
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+ model = MarianMTModel.from_pretrained(mname)
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+
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+ input = "Hello, I am here."
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+
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+ translated_tokens = custom_model.generate(**tokenizer.prepare_seq2seq_batch([input], return_tensors="pt"))
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+ translated_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated_tokens]
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+
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+ print(translated_text) # أهلا. أنا هنا
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+ ```
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+ {
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+ "_name_or_path": "Helsinki-NLP/opus-mt-en-ar",
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+ "activation_function": "swish",
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+ "add_bias_logits": false,
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+ "architectures": [
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+ "MarianMTModel"
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+ ],
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+ "normalize_before": false,
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+ {"source_lang": "eng", "target_lang": "ara", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "Helsinki-NLP/opus-mt-en-ar"}
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vocab.json ADDED
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