Instructions to use vasudevgupta/mbart-summarizer-interiit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/mbart-summarizer-interiit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/mbart-summarizer-interiit") model = AutoModelForSeq2SeqLM.from_pretrained("vasudevgupta/mbart-summarizer-interiit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de134382ad0371121086a40f61a1b7819076efb0e3434b886d981e8110d2c9c
- Size of remote file:
- 2.44 GB
- SHA256:
- f6c5d75b435322b2ee86cd2328ae450e96096a7afa68a726d5a2b3789af93ff3
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