Instructions to use MebinThattil/gemma-ft-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MebinThattil/gemma-ft-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MebinThattil/gemma-ft-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MebinThattil/gemma-ft-test: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/MebinThattil/gemma-ft-test/resolve/main/training_args.bin
- Command line
-
hf download hf://MebinThattil/gemma-ft-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MebinThattil/gemma-ft-test/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 44d2f59c0af083ba1d4251ad3471cab254bd040397d26a737ac12622e857a5c7
- Size of remote file:
- 5.62 kB
- SHA256:
- bb014bf1c1d31d6708a8496c5c79241ecc2105ede562c2831156dc066143f465
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.