Instructions to use helliun/bart-large-datadive-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-large-datadive-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-large-datadive-2") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-large-datadive-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7213a1ac5bb84d8fb043bb3f910f5c00bb9086a57a4526ccaa1ba27a13b5c100
- Size of remote file:
- 1.63 GB
- SHA256:
- d1f39a55a22ed148a8a0a6949626b6135a738abef84aa003b6cbc294c652a975
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