Instructions to use viditraj860/mbart-finetuned-hindi-3012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use viditraj860/mbart-finetuned-hindi-3012 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("viditraj860/mbart-finetuned-hindi-3012") model = AutoModelForSeq2SeqLM.from_pretrained("viditraj860/mbart-finetuned-hindi-3012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92a4129204a4a7db25c66e8cb49215e985bb86653b18e37dcfcdbbaeb7662020
- Size of remote file:
- 17.1 MB
- SHA256:
- 8cdf84e1736da6af067f4a4b39d1d500d8766ce8d89b9079a9325ae277464810
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