Instructions to use SnoopyFan/envtransfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnoopyFan/envtransfer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SnoopyFan/envtransfer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09baeef1e3498e6c9aa0d7bb184517840d7dd947dfc5a0457d7ad09d24f6e68c
- Size of remote file:
- 13 MB
- SHA256:
- c8b530cd52a68b1dc2fcd87bf302d14a1d4eb8f97327cb9fb071abacd8d4a367
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.