Instructions to use avreymi/amlk-e4-curated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avreymi/amlk-e4-curated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("avreymi/amlk-e4-curated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2db959cc2a2ae06f24b3824642e786bcdd21dafbf1a69fe6566437713b875f31
- Size of remote file:
- 671 MB
- SHA256:
- 2d9307df04d43916a0af89bfc2f213c1196bb5d24531b16f90442d60c9d08f57
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.