Instructions to use Aktsvigun/bart-base_xsum_6880281 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_6880281 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_6880281") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_6880281") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7346508b7ace487de587ae87e662e19fbcb6dd2a474e132c42f180405cc327ce
- Size of remote file:
- 558 MB
- SHA256:
- 0d2c340c23fd5344eff9dc927f43bbc9d2b655b6bb5cab374e79b0805c2b7827
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