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:
- cf49bb069db1757aad7c7ed64a43206b1eeaa030f30115ad12f77bf622d386b3
- Size of remote file:
- 2.44 GB
- SHA256:
- dd9311fbc709d40edc2c5dc696df9eb6ffda9a3eb6025d7d2a31c3dab281969c
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