Instructions to use jasonsurya0/BART_FIVE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_FIVE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_FIVE") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_FIVE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jasonsurya0/BART_FIVE: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/jasonsurya0/BART_FIVE/resolve/main/training_args.bin
- Command line
-
hf download hf://jasonsurya0/BART_FIVE/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jasonsurya0/BART_FIVE/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- a4395458e6835d0044ef6b0901afdbaf94e2783a5cbba50e7deed7012395e17d
- Size of remote file:
- 3.77 kB
- SHA256:
- 1dbdf0cacb2194c73a588a5730f77153a52ec9341d4b9d579111d5b497d1d136
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