Instructions to use helliun/bart-large-datadive-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-large-datadive-4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-large-datadive-4") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-large-datadive-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f288f525d7b98ba0fa8cdddde44cad508c827eb13d7973960eb5c5eb8d042548
- Size of remote file:
- 1.63 GB
- SHA256:
- 816581ad9a00d69df33f965b5abaad03315057d68a94f1e50a287ebd55bb12b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.