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README.md
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# English-to-Telugu Translation Model
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This model translates English text into Telugu.
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## Usage
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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model_name = "hima06varshini/english-to-telugu-translation"
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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def translate(text):
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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text = "Hello, how are you?"
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print(translate(text))
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# English-to-Telugu Translation Model
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This model translates English text into Telugu.
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## Usage
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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model_name = "hima06varshini/english-to-telugu-translation"
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name,use_auth_token=token)
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tokenizer = AutoTokenizer.from_pretrained(model_name,use_auth_token=token)
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def translate(text):
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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text = "Hello, how are you?"
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translated_text = translate(text)
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print(translate(text))
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