Instructions to use Evuv/bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evuv/bart_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Evuv/bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("Evuv/bart_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Evuv/bart_base: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/Evuv/bart_base/resolve/main/training_args.bin
- Command line
-
hf download hf://Evuv/bart_base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Evuv/bart_base/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 1d942d25155f818a4ef3c55bffd25141607254b6e296349156694283ed8e46ea
- Size of remote file:
- 3.71 kB
- SHA256:
- d40b1307b8f08a5e422dfddd851ad4e8fd175d5d630baa89b133fd9c7eeedbdf
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