Instructions to use HatimF/bart_booksum_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HatimF/bart_booksum_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HatimF/bart_booksum_1") model = AutoModelForSeq2SeqLM.from_pretrained("HatimF/bart_booksum_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e825c49442773246899d9c9a78786ef64d22913eceab88868e96fd4982b9ef3
- Size of remote file:
- 4.79 kB
- SHA256:
- be72ec32dd9adce1399e5b597555da1760466ca4f92baee43a7d697caf25d6c3
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