Instructions to use anujsahani01/finetuned_Mbart_mr_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anujsahani01/finetuned_Mbart_mr_en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anujsahani01/finetuned_Mbart_mr_en") model = AutoModelForSeq2SeqLM.from_pretrained("anujsahani01/finetuned_Mbart_mr_en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da3b5ede2f31dcba64b8f6f407ed596ce696c0e8a7d965f8f037d9f7b6a04d48
- Size of remote file:
- 17.1 MB
- SHA256:
- ecf3125ccbc02607430035f0c546ace2d3101844f22e9aeaa5228852f4197a04
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