metadata
license: cc0-1.0
A model that translates English sentences to Hindi.
To use this model, use the following code:
from transformers import AutoTokenizer, TFAutoModelForSeq2SeqLM
model_checkpoint = "aryaumesh/tf_model"
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
text = "This is a test case."
tokenized = tokenizer([text], return_tensors='np') # Convert input text to numerical format first
out = model.generate(**tokenized, max_length=128) # Performs translation
# Get translated text
with tokenizer.as_target_tokenizer():
translated_text = tokenizer.decode(out[0], skip_special_tokens=True)
print(translated_text) # यह एक परीक्षण का मामला है।