metadata
library_name: transformers
license: apache-2.0
language:
- mn
Model Card for Model ID
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Sainbayar B. (Б. Сайнбаяр) https://www.instagram.com/only_sainaa/]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [Mongolian Cyrillic to Traditional Mongolian Script conversion (Монгол кириллээс монгол бичиг рүү хөрвүүлэгч загвар)]
- Language(s) (NLP): [Mongolian /Монгол/]
- License: [More Information Needed]
- Finetuned from model [google-t5-small]: [More Information Needed]
Check if CUDA (GPU) is available
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
Move the model to the same device (GPU or CPU)
model.to(device)
Prepare text input
input_text = "сайн уу" # Mongolian greeting
Tokenize the input text
inputs = tokenizer(input_text, return_tensors="pt")
Move the input tensors to the same device as the model
inputs = {k: v.to(device) for k, v in inputs.items() if k in ['input_ids', 'attention_mask']}
Generate translation
outputs = model.generate(**inputs)
Decode the output to human-readable text
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
Print the translated text
print(f"Translated Text: {translated_text}")