Instructions to use just-final/BART_poem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use just-final/BART_poem with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("just-final/BART_poem") model = AutoModelForSeq2SeqLM.from_pretrained("just-final/BART_poem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from just-final/BART_poem: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/just-final/BART_poem/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://just-final/BART_poem/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/just-final/BART_poem/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 86298ab3a78014d80304ef5bba23e3199449c5be70145bb382cdc74e3645c87d
- Size of remote file:
- 496 MB
- SHA256:
- 82610c4cf0699e88d33a78b59108988d3777a79f3ee17ac0fae40f78e2cdeaaa
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