Instructions to use helliun/bart-large-datadive-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-large-datadive-3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-large-datadive-3") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-large-datadive-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19868e7e64b767aa07db397ebf60386358ff0638de883fd4d0a49f6a87e45a0e
- Size of remote file:
- 1.63 GB
- SHA256:
- 79528ea729dfaf0adc1842a4912eb471dc5e85cad14dc8c91eeba1a271ee6103
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.