Transformers
Safetensors
gemma-3
fine-tuning
sft
unsloth
academic-title-generation
lora
4bit
chat-template
Instructions to use beta3/gemma3_1b_title_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beta3/gemma3_1b_title_generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beta3/gemma3_1b_title_generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from beta3/gemma3_1b_title_generator: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/beta3/gemma3_1b_title_generator/resolve/main/training_args.bin
- Command line
-
hf download hf://beta3/gemma3_1b_title_generator/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/beta3/gemma3_1b_title_generator/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- 71ea2252a80c226eed889097056fb361ec4ac16b30d6c9125d64fff64dc1addc
- Size of remote file:
- 6.29 kB
- SHA256:
- 81ed17072d6b7a89e259fb73c1864f355ddf518c5e2491afe950701b9fff8f3e
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