Instructions to use Aktsvigun/bart-base_xsum_6864530 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_6864530 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_6864530") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_6864530", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Aktsvigun/bart-base_xsum_6864530: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Aktsvigun/bart-base_xsum_6864530/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Aktsvigun/bart-base_xsum_6864530/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Aktsvigun/bart-base_xsum_6864530/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- c55df3b58f8d78829595fec50b802483e471acf649ee694f200625c7bf3292f1
- Size of remote file:
- 558 MB
- SHA256:
- 857be3b6fb49dfd337667f08285b27e68ce7ff99b995d0afe90a35eec825104b
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