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--- |
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license: creativeml-openrail-m |
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language: |
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- ta |
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- en |
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pipeline_tag: translation |
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widget: |
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- text: Thalaivaru nirantharam |
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inference: |
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parameters: |
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src_lang : en |
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tgt_lang : ta |
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--- |
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# Model Card for Deepakvictor/tan-ta |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model is Finetuned on Facebook's m2m model to convert Tanglish words to Tamil |
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## Model Details |
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Model is finetuned on facebook/m2m100_418M m2m100_418m page --> https://huggingface.co/facebook/m2m100_418M |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Deepakvictor |
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- **Language(s) (NLP):** Tamil,Tanglish |
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- **Finetuned from model [facebook/m2m100_418M]:** [https://huggingface.co/facebook/m2m100_418M] |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [Need to be uploaded] |
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- **Demo [optional]:** [Need to be uploaded] |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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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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```python |
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# Load model directly from transformers library |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("Deepakvictor/tan-ta") |
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model = AutoModelForSeq2SeqLM.from_pretrained("Deepakvictor/tan-ta") |
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#pass the input |
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inp = tokenizer("Thalaivaru nirantharam",return_tensors="pt") |
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out= model.generate(**inp) |
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tokenizer.batch_decode(out,skip_special_tokens=True) |
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#['தலைவரு நிரந்தரம்'] |
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``` |
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Repo code --> github.com/devic1 🖤 |
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