Translation
Transformers
Safetensors
Nepali
English
mt5
text2text-generation
nepali
roman english
transliteration
Instructions to use syubraj/RomanEng2Nep-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syubraj/RomanEng2Nep-v2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="syubraj/RomanEng2Nep-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syubraj/RomanEng2Nep-v2") model = AutoModelForSeq2SeqLM.from_pretrained("syubraj/RomanEng2Nep-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a9f79341e59a7f49fb1ea3af37914ec4875ab847390b657b7e9f6bf51edc938
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
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