Instructions to use akira1608/BART-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akira1608/BART-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akira1608/BART-model") model = AutoModelForSeq2SeqLM.from_pretrained("akira1608/BART-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from akira1608/BART-model: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/akira1608/BART-model/resolve/main/training_args.bin
- Command line
-
hf download hf://akira1608/BART-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/akira1608/BART-model/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 4d5b0275ceb084001e1f3439a79d90e7e6f1d3f4ebcd2639179f974f4586992b
- Size of remote file:
- 4.03 kB
- SHA256:
- 39e7114bd71324479db91736571f5863da37f2cb3ed56b757b0fe92928da0244
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