Instructions to use sam749/IndicTrans2-Conv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sam749/IndicTrans2-Conv with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sam749/IndicTrans2-Conv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| license: apache-2.0 | |
| language: | |
| - hi | |
| - en | |
| inference: false | |
| # Model Card for Model ID | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| This repo contains a LoRA trained on English-Hindi text pair for machine translation that is suitable for conversational inputs. | |
| ### Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| 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:** AI4Bharat | |
| - **Finetuned from model:** ai4bharat/indictrans2-en-indic-dist-200M | |
| ### Model Sources | |
| <!-- Provide the basic links for the model. --> | |
| - **Repository:** [indictrans2-conv](https://github.com/saurabhv749/indictrans2-conv) | |
| - **Demo :** [sam749/indictrans2-conversation](https://huggingface.co/spaces/sam749/indictrans2-conversation) |