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