Instructions to use jungseok/TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jungseok/TEST with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jungseok/TEST") model = AutoModel.from_pretrained("jungseok/TEST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jungseok/TEST: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/jungseok/TEST/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jungseok/TEST/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jungseok/TEST/resolve/main/pytorch_model.bin
1.35 GB
- Xet hash:
- 9422d43d0fe07b64db405f50f3bf6f929ead403dfffac87ae6e6ae617362f38e
- Size of remote file:
- 1.35 GB
- SHA256:
- f2128d809eba99c4781a04606cbdab2dddde98bd7ec63358093c06f9c028a8b8
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