Instructions to use Machacini/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Machacini/test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Machacini/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2352/training_args.bin from Machacini/test: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/Machacini/test/resolve/main/checkpoint-2352/training_args.bin
- Command line
-
hf download hf://Machacini/test/checkpoint-2352/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Machacini/test/resolve/main/checkpoint-2352/training_args.bin
5.65 kB
- Xet hash:
- 9c74aa331f8b3daa188081b8d90eccf124380c83a593c8c30508f8f766145068
- Size of remote file:
- 5.65 kB
- SHA256:
- be72912b0c23c5ff1e9832dab7ec1662bf093daae78147fc1b5c95c2f501666e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.