Instructions to use Quaxicron/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quaxicron/test1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Quaxicron/test1") model = AutoModelForSeq2SeqLM.from_pretrained("Quaxicron/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c290a2f995f779feb5199f3f8cbab18fc171aaba88b8807401d3397a557fa57
- Size of remote file:
- 5.39 kB
- SHA256:
- b390de8186ab43c888dce607c8bff9f9df9776a887a1e34e185887d69e07361b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.