Instructions to use LearneratVnit/bart-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LearneratVnit/bart-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LearneratVnit/bart-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("LearneratVnit/bart-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 177d4fa0c5bb3ed929c527a53bd16eeea390dea2382f5fbb0b54b602f0ba35bf
- Size of remote file:
- 5.37 kB
- SHA256:
- ad64d49546d6a7492da9d69dbe829bd858afab394a851570affaaf0087e444dd
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