Instructions to use Aktsvigun/bart-base_scisummnet_3982742 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_scisummnet_3982742 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_scisummnet_3982742") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_scisummnet_3982742", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9c6e75d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0bdb280ae59757a3a01ab4c87e8d15ad6e231d7470c801ffb5ac0f095ca8b78b
size 557965433
|