Transformers
TensorBoard
Safetensors
Hindi
English
marian
text2text-generation
Generated from Trainer
transliteration
Instructions to use ar5entum/marianMT_bi_dev_rom_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ar5entum/marianMT_bi_dev_rom_tl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ar5entum/marianMT_bi_dev_rom_tl") model = AutoModelForSeq2SeqLM.from_pretrained("ar5entum/marianMT_bi_dev_rom_tl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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@@ -36,7 +36,7 @@ The model is specifically designed to transliterate Devnagiri and Roman text bot
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from transformers import MarianMTModel, MarianTokenizer
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import evaluate
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class
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def __init__(self, model_name='ar5entum/marianMT_bi_dev_rom_tl'):
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self.model_name = model_name
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self.tokenizer = MarianTokenizer.from_pretrained(model_name)
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from transformers import MarianMTModel, MarianTokenizer
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import evaluate
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class Transliterate:
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def __init__(self, model_name='ar5entum/marianMT_bi_dev_rom_tl'):
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self.model_name = model_name
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self.tokenizer = MarianTokenizer.from_pretrained(model_name)
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