Translation
Transformers
Safetensors
gemma4
image-text-to-text
machine-translation
indic
indian-languages
multilingual
long-context
transliteration
romanization
Instructions to use bodhan-ai/indic-translate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bodhan-ai/indic-translate 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="bodhan-ai/indic-translate")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bodhan-ai/indic-translate") model = AutoModelForMultimodalLM.from_pretrained("bodhan-ai/indic-translate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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