Instructions to use jkulhanek/augpt-bigdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkulhanek/augpt-bigdata with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jkulhanek/augpt-bigdata") model = AutoModel.from_pretrained("jkulhanek/augpt-bigdata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
allow flax
5e08917
-
Update special_tokens_map.json
8d7a5f8 -
Update training_args.bin
0d8ed05 -
Update config.json
f21cd37 -
Update vocab.json
f01d024 -
Update merges.txt
1187785 -
Update tokenizer_config.json
45296e0 -
Update added_tokens.json
8b43771 -
Update pytorch_model.bin
9a5b36b -
initial commit
193b16f