Instructions to use Quddus1916/gemma-1b-it-mask-survey with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quddus1916/gemma-1b-it-mask-survey with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Quddus1916/gemma-1b-it-mask-survey", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Quddus1916/gemma-1b-it-mask-survey: direct link, hf CLI and curl.
- Browser
- Download file 5.82 kB
-
https://huggingface.co/Quddus1916/gemma-1b-it-mask-survey/resolve/main/training_args.bin
- Command line
-
hf download hf://Quddus1916/gemma-1b-it-mask-survey/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Quddus1916/gemma-1b-it-mask-survey/resolve/main/training_args.bin
5.82 kB
- Xet hash:
- 2905abb28c09bc06f9841dc42d10d586db7b601b85899237d1f9a4e8d3a0c74e
- Size of remote file:
- 5.82 kB
- SHA256:
- 6ff90b577e69614d028050768633c1d13b9504d4c7298522ccf58887d445ce08
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