Instructions to use guldasta/mbart-oscar-hindi-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guldasta/mbart-oscar-hindi-gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("guldasta/mbart-oscar-hindi-gen") model = AutoModelForSeq2SeqLM.from_pretrained("guldasta/mbart-oscar-hindi-gen") - Notebooks
- Google Colab
- Kaggle
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the oscar dataset.
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It achieves the following results on the evaluation set:
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# mbart oscar-hindi text generator
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the oscar dataset.
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It achieves the following results on the evaluation set:
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