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Update README.md

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@@ -21,7 +21,7 @@ This is the model card of a 🤗 transformers model that has been pushed on the
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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  - **License:** [More Information Needed]
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  - **Finetuned from model [optional]:** [More Information Needed]
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@@ -29,7 +29,7 @@ This is the model card of a 🤗 transformers model that has been pushed on the
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  <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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  - **Paper [optional]:** [More Information Needed]
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  - **Demo [optional]:** [More Information Needed]
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@@ -69,7 +69,10 @@ Users (both direct and downstream) should be made aware of the risks, biases and
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  ## How to Get Started with the Model
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- Use the code below to get started with the model.
 
 
 
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  [More Information Needed]
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** Lezgin, Russian
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  - **License:** [More Information Needed]
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  - **Finetuned from model [optional]:** [More Information Needed]
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  <!-- Provide the basic links for the model. -->
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+ - **Repository:** https://github.com/leks-forever/nllb-tuning
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  - **Paper [optional]:** [More Information Needed]
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  - **Demo [optional]:** [More Information Needed]
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  ## How to Get Started with the Model
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+ ```python
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+ model = AutoModelForSeq2SeqLM.from_pretrained("leks-forever/nllb-200-distilled-600M")
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+ tokenizer = NllbTokenizer.from_pretrained("leks-forever/nllb-200-distilled-600M")
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+ ```
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  [More Information Needed]
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