Instructions to use Perfect7613/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Perfect7613/trainer_output with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Perfect7613/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0804b81ce760ba7b371e41e3213ff90c117252ab0963f75f5c590e1f6abdebe0
- Size of remote file:
- 1.51 GB
- SHA256:
- 160637306f98e669b8aff1374d471e2f9ea2f5aeb0e7ebae70c9bf926b1c5872
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.