Instructions to use Anorak/nirvana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anorak/nirvana with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Anorak/nirvana") model = AutoModelForSeq2SeqLM.from_pretrained("Anorak/nirvana") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c48aa843771c676435232794c14df9aea6537afa331f639e7b48be14a91ac140
- Size of remote file:
- 2.28 GB
- SHA256:
- 5dd72dd0fdcbcef7ec0002205b3d37dc1fc51fdf37298558d79d1d3e0f22905a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.