Instructions to use helliun/bart-large-datadive-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-large-datadive-5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-large-datadive-5") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-large-datadive-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4498f6dc5fb3b69192d69a1707edb6c32e31b320bde0d9bab0c7ae89fd30eeec
- Size of remote file:
- 1.63 GB
- SHA256:
- 3de3d0ecd9cfc28c539e199b01f96d880ce0383ee27fb8523f3381fe04327c03
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