Instructions to use Advaith1612/bart_convo-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Advaith1612/bart_convo-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Advaith1612/bart_convo-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Advaith1612/bart_convo-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0556bb2e87fbe0693c780526b86f55ba862b5e8b5442b81e5960318264023eb4
- Size of remote file:
- 5.11 kB
- SHA256:
- aa14604a8f4aecbddf11bc54ceaec58fb012c35ab6058102d430e8f0050660cc
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