Instructions to use ParitoshBorkar/bart-base-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParitoshBorkar/bart-base-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ParitoshBorkar/bart-base-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("ParitoshBorkar/bart-base-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 346e06a4da29d19eec1f688265959c4abb7ca3aa56982b21a0da72f0627b34d4
- Size of remote file:
- 558 MB
- SHA256:
- 7b014d21ff2b051be10421aec45f045b309dc51b74b8d326fb0a95a4d00fcbfb
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