Instructions to use AnonymousSub/cline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/cline with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/cline") model = AutoModelForPreTraining.from_pretrained("AnonymousSub/cline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9eef959987b264700479679dd90c1329a68a33b858a8ab5cf4e3a96792f68182
- Size of remote file:
- 1.84 kB
- SHA256:
- 12d8e51be8872528fe91391a881d853bc49eac3e20c3208c9e2dc981e4968ad2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.