Instructions to use sumit7488/bart-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumit7488/bart-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sumit7488/bart-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("sumit7488/bart-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98995bd3aa52b115694a931e95e7398b7e258658d8811e15abc70eb6b7de31bc
- Size of remote file:
- 1.63 GB
- SHA256:
- e26aaa48124fa3b68b821dfe42d68f2a31a665e224dcb53fac0d820e1076055f
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