Instructions to use gaeunseo/finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaeunseo/finetuned_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaeunseo/finetuned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from gaeunseo/finetuned_model: direct link, hf CLI and curl.
- Browser
- Download file 6.17 GB
-
https://huggingface.co/gaeunseo/finetuned_model/resolve/main/model.bin
- Command line
-
hf download hf://gaeunseo/finetuned_model/model.bin
-
curl -L -o model.bin https://huggingface.co/gaeunseo/finetuned_model/resolve/main/model.bin
6.17 GB
- Xet hash:
- e1a2dd1bde50da05b860c01e7378e2896bbc3e986ca6457dc323e76319078c43
- Size of remote file:
- 6.17 GB
- SHA256:
- a38daefb28fb8a613454c89627ba4b5ae9047a740bd8bec659dfcd7ebd6db710
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.