README.md

Readme v1.0

README.md

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+---
+Language Pair Finetuned:
+- en-mr
+
+Metrics:
+- sacrebleu
+  - WAT 2021: 16.11
+
+# mbart-large-finetuned-en-mr
+ 
+## Model Description
+ This is the mbart-large-50 model finetuned on En-Mr corpus.
+  
+## Intended uses and limitations
+ Mostly useful for English to Marathi translation but the mbart-large-50 model also supports other language pairs
+ 
+### How to use
+```python
+from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
+
+model = MBartForConditionalGeneration.from_pretrained("shivam/mbart-large-50-finetuned-en-mr")
+tokenizer = MBart50TokenizerFast.from_pretrained("shivam/mbart-large-50-finetuned-en-mr", src_lang="en_XX", tgt_lang="mr_IN")
+
+english_input_sentence = "The Prime Minister said that cleanliness, or Swachhta, is one of the most important aspects of preventive healthcare."
+model_inputs = tokenizer(english_input_sentence, return_tensors="pt")
+generated_tokens = model.generate(
+    **model_inputs,
+    forced_bos_token_id=tokenizer.lang_code_to_id["mr_IN"]
+)
+marathi_output_sentence = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+
+print(marathi_output_sentence)
+#स्वच्छता हा प्रतिबंधात्मक आरोग्य सेवेतील सर्वात महत्त्वाचा पैलू आहे, असे पंतप्रधान म्हणाले.
+```
+#### Limitations
+ The model was trained on Google Colab and as the training takes a lot of time the model was trained for small time and small number of epochs.
+
+## Eval results 
+ WAT 2021: 16.11